Purpose: This study investigates the effect of lean implementation on production cost reduction and the moderating role of lean manufacturing maturity.Design/methodology/approach: This study employed a cross-sectional survey, of which the samples were drawn using a cluster sampling procedure from 151 middle and top-level management of medium and large manufacturing companies gathered from the Federation of Manufacturers Malaysia (FMM). Data were analyzed using the PLS-SEM approach through SmartPLS4 software.Findings: The result revealed that lean implementation does not leverage production cost reduction as the lean journey requires long-term orientation, which finally leads to valid cost reduction. The moderating role of lean manufacturing maturity was significant and positive in the relationship between lean manufacturing implementation and production cost reduction.Research limitations/implications: Future research should include longitudinal settings as this study is cross-sectional, and future research might put the present model to the test in multiple industries and regions, including a cross-country comparison to improve the generalizability of the findings. Additionally, further studies could extend this study using a mixed-method approach.Practical implications: By offering a holistic perspective, this study expands the existing literature, contributes to knowledge of integrated lean implementation and supports the management in planning their path towards cost-cutting performance.Originality/value: This study answers the inconclusive finding between lean implementation and operational performance in terms of production cost reduction. The study contributes to the body of knowledge and, most importantly, to the practitioners in planning their lean journey.
{"title":"Save it for a rainy day! Lean strategies for cost saving: The role of Lean maturity","authors":"Norhana Mohd Aripin, G. Nawanir, S. Hussain","doi":"10.3926/jiem.4567","DOIUrl":"https://doi.org/10.3926/jiem.4567","url":null,"abstract":"Purpose: This study investigates the effect of lean implementation on production cost reduction and the moderating role of lean manufacturing maturity.Design/methodology/approach: This study employed a cross-sectional survey, of which the samples were drawn using a cluster sampling procedure from 151 middle and top-level management of medium and large manufacturing companies gathered from the Federation of Manufacturers Malaysia (FMM). Data were analyzed using the PLS-SEM approach through SmartPLS4 software.Findings: The result revealed that lean implementation does not leverage production cost reduction as the lean journey requires long-term orientation, which finally leads to valid cost reduction. The moderating role of lean manufacturing maturity was significant and positive in the relationship between lean manufacturing implementation and production cost reduction.Research limitations/implications: Future research should include longitudinal settings as this study is cross-sectional, and future research might put the present model to the test in multiple industries and regions, including a cross-country comparison to improve the generalizability of the findings. Additionally, further studies could extend this study using a mixed-method approach.Practical implications: By offering a holistic perspective, this study expands the existing literature, contributes to knowledge of integrated lean implementation and supports the management in planning their path towards cost-cutting performance.Originality/value: This study answers the inconclusive finding between lean implementation and operational performance in terms of production cost reduction. The study contributes to the body of knowledge and, most importantly, to the practitioners in planning their lean journey.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"107 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72889753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Munsamy, A. Telukdarie, T. Igusa, Marietta M. Squire
Purpose: Sustaining healthcare operations without adequate energy capacity creates significant challenges, especially during periods of constrained energy supply. This research develops a clinical and non-clinical activity-based hospital energy model for electrical load prioritization during periods of constrained energy supply.Design/methodology/approach: Discrete event modelling is adopted for development of the hospital energy model (HEM). The basis of the HEM is business process mapping of the hospitals clinical and non-clinical activities. The model prioritizes the electrical load demand as Priority 1, 2 and 3; with Priority 1 activities essential to the survival of patients, Priority 2 activities are critical activities that are required after one to four hours, and Priority 3 activities can run for several hours without electricity.Findings: The model was applied to a small, medium, and large hospital. The results demonstrate that Priority 2 activities have the highest energy demand, followed by Priority 1 and Priority 3 activities, respectively for all hospital sizes. For the medium and large hospitals, the top three contributors to energy demand are lighting, HVAC, and patient services. For the small hospital, it is patient services, lighting, and HVAC, respectively.Research limitations/implications: The model is specific to hospitals but can be modified for other healthcare facilities.Practical implications: The resolution of the electrical energy demand down to the business activity level, enables hospitals to evaluate current practices for optimization. It facilitates multiple energy supply scenarios, enabling hospital management to conduct feasibility studies based on available power supply optionsSocial implications: Improved planning of capital expenditure and operational budgets and during constrained energy supply. This reduces risk to hospitals and ensures consistent quality of service. Originality/value: Current hospital energy models are limited, especially for operations management under constrained energy supply. A simple to use model is proposed to assist in planning of activities based on available supply.
{"title":"Hospital energy demand forecasting for prioritisation during periods of constrained supply","authors":"M. Munsamy, A. Telukdarie, T. Igusa, Marietta M. Squire","doi":"10.3926/jiem.4229","DOIUrl":"https://doi.org/10.3926/jiem.4229","url":null,"abstract":"Purpose: Sustaining healthcare operations without adequate energy capacity creates significant challenges, especially during periods of constrained energy supply. This research develops a clinical and non-clinical activity-based hospital energy model for electrical load prioritization during periods of constrained energy supply.Design/methodology/approach: Discrete event modelling is adopted for development of the hospital energy model (HEM). The basis of the HEM is business process mapping of the hospitals clinical and non-clinical activities. The model prioritizes the electrical load demand as Priority 1, 2 and 3; with Priority 1 activities essential to the survival of patients, Priority 2 activities are critical activities that are required after one to four hours, and Priority 3 activities can run for several hours without electricity.Findings: The model was applied to a small, medium, and large hospital. The results demonstrate that Priority 2 activities have the highest energy demand, followed by Priority 1 and Priority 3 activities, respectively for all hospital sizes. For the medium and large hospitals, the top three contributors to energy demand are lighting, HVAC, and patient services. For the small hospital, it is patient services, lighting, and HVAC, respectively.Research limitations/implications: The model is specific to hospitals but can be modified for other healthcare facilities.Practical implications: The resolution of the electrical energy demand down to the business activity level, enables hospitals to evaluate current practices for optimization. It facilitates multiple energy supply scenarios, enabling hospital management to conduct feasibility studies based on available power supply optionsSocial implications: Improved planning of capital expenditure and operational budgets and during constrained energy supply. This reduces risk to hospitals and ensures consistent quality of service. Originality/value: Current hospital energy models are limited, especially for operations management under constrained energy supply. A simple to use model is proposed to assist in planning of activities based on available supply.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"7 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81174365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Sales, R. De Castro, Anna Ochoa De Echagüen Aguilar, Vicenç Martinez Ibáñez
Purpose: Implementing process management methodology through Lean Management and Design Thinking provides a new way to manage surgical blocks, maximize efficiency and adapt to the high variability of demand. This article presents our experience of implementing a set of improvement actions within the surgical process in the context of Lean Healthcare Processes. The project involved a total of 900 healthcare professionals over a 3-year period (2017-2019) and has impacted over 38,000 surgical patients each year at the Vall d'Hebron University Hospital in Barcelona, Spain.The purpose of this article is to present a set of improvement projects within the surgical process and show the indicators that monitor its evolution. These projects have been implemented successfully in a hospital with high surgical complexity and indicate how health care professionals and process engineers can work together as a team to improve healthcare resources.Design/methodology/approach: To evaluate the effectiveness of the actions presented, we propose a series of standardized indicators showing how our findings increase the efficiency of the surgical process. We also indicate Lean projects that can reduce patient waiting times and increase capacity. Below is a management model for the surgical process that considers industrial production criteria such as resource planning, optimizing the use of operating rooms and professionals' time and generating the best surgery combinations.Findings: Projects that have increased efficiency in the surgical block the most have been standardized and converted into a model of action. This is designed to adapt to any level of complexity within the hospital process. The set of improvement projects has been divided into 6 stages: Programming, Material logistics process, pre-surgical stage, intra-surgical stage, post-surgical stage and transversal projects; each affecting a different area of the general hospital (not only the surgical unit). Furthermore, a visual flow chart was designed using the results of the project.Findings from the study have led to a 15% increase in surgical capacity without the need for new resources. The average hospital stay also dropped from 7.2 days to 4.1 days. The flow vision in the care process improves the experience of both patients and health care professionals, who see their participation as part of the whole health care process.Research limitations/implications: the projects were mainly developed at the Vall d'Hebron University Hospital. Although several of these projects have been carried out in other hospitals in Spain by the same team of process engineers, results may be biased when the team provides support within its own process department, compared to when it supports the local team in another hospital temporarily.Another important limitation is that it takes several months to implement and consolidate the improvement projects and demonstrate improved indicators in a sustainable way over time. This ma
{"title":"Lean healthcare: Improving surgical process indicators through prioritization projects","authors":"M. Sales, R. De Castro, Anna Ochoa De Echagüen Aguilar, Vicenç Martinez Ibáñez","doi":"10.3926/jiem.4628","DOIUrl":"https://doi.org/10.3926/jiem.4628","url":null,"abstract":"Purpose: Implementing process management methodology through Lean Management and Design Thinking provides a new way to manage surgical blocks, maximize efficiency and adapt to the high variability of demand. This article presents our experience of implementing a set of improvement actions within the surgical process in the context of Lean Healthcare Processes. The project involved a total of 900 healthcare professionals over a 3-year period (2017-2019) and has impacted over 38,000 surgical patients each year at the Vall d'Hebron University Hospital in Barcelona, Spain.The purpose of this article is to present a set of improvement projects within the surgical process and show the indicators that monitor its evolution. These projects have been implemented successfully in a hospital with high surgical complexity and indicate how health care professionals and process engineers can work together as a team to improve healthcare resources.Design/methodology/approach: To evaluate the effectiveness of the actions presented, we propose a series of standardized indicators showing how our findings increase the efficiency of the surgical process. We also indicate Lean projects that can reduce patient waiting times and increase capacity. Below is a management model for the surgical process that considers industrial production criteria such as resource planning, optimizing the use of operating rooms and professionals' time and generating the best surgery combinations.Findings: Projects that have increased efficiency in the surgical block the most have been standardized and converted into a model of action. This is designed to adapt to any level of complexity within the hospital process. The set of improvement projects has been divided into 6 stages: Programming, Material logistics process, pre-surgical stage, intra-surgical stage, post-surgical stage and transversal projects; each affecting a different area of the general hospital (not only the surgical unit). Furthermore, a visual flow chart was designed using the results of the project.Findings from the study have led to a 15% increase in surgical capacity without the need for new resources. The average hospital stay also dropped from 7.2 days to 4.1 days. The flow vision in the care process improves the experience of both patients and health care professionals, who see their participation as part of the whole health care process.Research limitations/implications: the projects were mainly developed at the Vall d'Hebron University Hospital. Although several of these projects have been carried out in other hospitals in Spain by the same team of process engineers, results may be biased when the team provides support within its own process department, compared to when it supports the local team in another hospital temporarily.Another important limitation is that it takes several months to implement and consolidate the improvement projects and demonstrate improved indicators in a sustainable way over time. This ma","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"28 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89451133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research was conducted by researchers at Trienggadeng State Vocational School located on Jl Banda Aceh-Medan KM 152, Kec. Trienggadeng Regency. Pidie Jaya. This research is based on the importance of the network in the ongoing teaching and learning process in the network and computer labs, the network in the lab is currently not managed properly and the distribution of bandwidth is not evenly distributed. To get a good internet connection, it is necessary to distribute bandwidth evenly, which can be done using a proxy router. One of the features for distributing bandwidth evenly in the proxy router can be applied using the simple queue and queue tree methods, knowing network quality can be done using Quality of Service (QoS) measurements. This study aims to determine the analysis of network quality using Qos on proxy routers using the simple queue and queue tree methods. The method used in this study is to use the action research method (action research), the stages of the research are analyzing, data collection, data completeness, making network designs, and taking action. The results obtained for network analysis in a comparative study between simple queue and queue tree networks, the results for the delay obtained by the queue tree are 9 ms, packet loss = 0%, and throughput = 549 k. Whereas the simple queue obtains the value from the QoS measurement by performing calculations with the equation formula to obtain a value of delay = 8 ms, packet loss = 0.15% and throughput = 629 k. Based on the Tiphon standard, it can be concluded that for delay, a queue tree is better with a value above the simple queue with a very good index, the packet loss queue tree is better than the simple queue, the index is very good, the throughput of the simple queue is better compared to the throughput queue tree. This research shows that overall Queue Tree is more optimal for QoS.
这项研究是由位于Jl Banda Aceh-Medan KM 152的Trienggadeng州立职业学校的研究人员进行的。Trienggadeng摄政。位于Pidie Jaya。本研究是基于网络和计算机实验室在不断进行的教学过程中网络的重要性，目前实验室网络管理不到位，带宽分布不均匀。为了获得良好的互联网连接，有必要均匀地分配带宽，这可以使用代理路由器来完成。在代理路由器中均匀分配带宽的特性之一可以使用简单的队列和队列树方法来实现，知道网络质量可以使用服务质量(QoS)度量来实现。本研究旨在使用简单队列和队列树方法确定代理路由器上使用Qos的网络质量分析。本研究采用的方法是使用行动研究方法(action research)，研究的阶段为分析、数据收集、数据整理、网络设计、采取行动。网络分析的结果之间的比较研究简单的队列和队列树网络延迟的结果通过队列树9女士,包丢失= 0%,和吞吐量= 549 k。而简单的队列获取价值的QoS测量通过执行计算方程公式获得的值延迟= 8,女士包丢失和吞吐量= 629 k = 0.15%。Tiphon标准的基础上,可以得出结论,延误,队列树的值比简单队列好，索引很好，丢包队列树比简单队列好，索引很好，简单队列的吞吐量比吞吐量队列树好。研究表明，整体队列树对于QoS来说是最优的。
{"title":"Comparative Analysis of Network Quality Using QOS Parameters on Mikrotik Routers Using the Queue Tree and Simple Queue Methods","authors":"Anni Zulfia, Dahlan Abdullah, F. Fajriana","doi":"10.52088/jaiem.v1i1.12","DOIUrl":"https://doi.org/10.52088/jaiem.v1i1.12","url":null,"abstract":"The research was conducted by researchers at Trienggadeng State Vocational School located on Jl Banda Aceh-Medan KM 152, Kec. Trienggadeng Regency. Pidie Jaya. This research is based on the importance of the network in the ongoing teaching and learning process in the network and computer labs, the network in the lab is currently not managed properly and the distribution of bandwidth is not evenly distributed. To get a good internet connection, it is necessary to distribute bandwidth evenly, which can be done using a proxy router. One of the features for distributing bandwidth evenly in the proxy router can be applied using the simple queue and queue tree methods, knowing network quality can be done using Quality of Service (QoS) measurements. This study aims to determine the analysis of network quality using Qos on proxy routers using the simple queue and queue tree methods. The method used in this study is to use the action research method (action research), the stages of the research are analyzing, data collection, data completeness, making network designs, and taking action. The results obtained for network analysis in a comparative study between simple queue and queue tree networks, the results for the delay obtained by the queue tree are 9 ms, packet loss = 0%, and throughput = 549 k. Whereas the simple queue obtains the value from the QoS measurement by performing calculations with the equation formula to obtain a value of delay = 8 ms, packet loss = 0.15% and throughput = 629 k. Based on the Tiphon standard, it can be concluded that for delay, a queue tree is better with a value above the simple queue with a very good index, the packet loss queue tree is better than the simple queue, the index is very good, the throughput of the simple queue is better compared to the throughput queue tree. This research shows that overall Queue Tree is more optimal for QoS.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"12 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87578023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There is a lack of information systems that can facilitate the laundry business in reaching the market, so an application is needed to provide information to be known by many people in the city of Banda Aceh. One is by delivering information using the nearest laundry location search application. With the help of the internet and smartphones, it can make it easier for people to find the nearest laundry. The researcher is interested in designing a smartphone application to provide information on the nearest laundry. This study aims to create information media to develop an artificial intelligence-based laundry location search application model and a laundry location search application model with mobile Computing in Banda Aceh. The stages of this research are field observation, application design and design, application trials, research implementation permits, research data collection, and analysis of research results. The research implementation is located in the city of Banda Aceh. This research method is included in the Research and Development (RD) development category. The data collection used is as follows: notes on the results of interviews, field observations, and data related to informants. The results of this study are in the form of an application that provides information on the location of the nearest laundry from a distance of the user automatically when the application is run, and the user can search for the lowest price, 4+ star branches, and laundries that provide Pickup services.
{"title":"The Development of a Laundry Location Tracking Application Model Based on Artificial Intelligence and Mobile Computing","authors":"Muhammad Chaizir, Dahlan Abdullah, Muhammad Daud","doi":"10.52088/jaiem.v1i1.13","DOIUrl":"https://doi.org/10.52088/jaiem.v1i1.13","url":null,"abstract":"There is a lack of information systems that can facilitate the laundry business in reaching the market, so an application is needed to provide information to be known by many people in the city of Banda Aceh. One is by delivering information using the nearest laundry location search application. With the help of the internet and smartphones, it can make it easier for people to find the nearest laundry. The researcher is interested in designing a smartphone application to provide information on the nearest laundry. This study aims to create information media to develop an artificial intelligence-based laundry location search application model and a laundry location search application model with mobile Computing in Banda Aceh. The stages of this research are field observation, application design and design, application trials, research implementation permits, research data collection, and analysis of research results. The research implementation is located in the city of Banda Aceh. This research method is included in the Research and Development (RD) development category. The data collection used is as follows: notes on the results of interviews, field observations, and data related to informants. The results of this study are in the form of an application that provides information on the location of the nearest laundry from a distance of the user automatically when the application is run, and the user can search for the lowest price, 4+ star branches, and laundries that provide Pickup services.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"55 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75808897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: This research aims to investigate which are the green purchasing practices that Portuguese manufacturing companies have been using and the relationship with company overall performance. This paper focuses on green-purchasing practices, such as green products, green suppliers, environmental collaboration with suppliers, green packaging, and reverse logistics, to ensure sustainable practices in the supply chain, and the influence of those practices on firm’s performance was investigated from the perspective of managers perception.Design/methodology/approach: A qualitative approach was adopted, based on eight case studies. Data was collected from semi-structured interviews with procurement managers from Portuguese manufacturing industry and from reports, websites and companies’ internal documentation. To analyze the impact of green purchasing practices on company overall performance a conceptual model was proposed.Findings: The results support three out of five propositions of this research, and evidence reveals that green purchasing practices improves company overall performance. Provides evidence that the implementation of those practices positively influences overall company performance, it also identifies the most frequent green purchasing practices that may help businesses in adopting environmental initiatives.Research limitations/implications: While the sample included organizations from several economic sectors, it was based on just a sample of eight case studies and the findings may not be valid in different sectors. This research focuses on green procurement from a country's perspective, which reduces the ability to generalize the findings to other countries.Practical implications: Managers might utilize the results of this study to develop and implement green purchasing practices and enhance organizations' overall performance via their adoption.Social implications: This research contributes to the current discussion in green supply chain literature.Originality/value: This study contributes to the existing body of research on the effects of implementing green purchasing practices into the procurement function.
{"title":"Investigating the relationship between green supply chain purchasing practices and firms’ performance","authors":"Luísa Pinto","doi":"10.3926/jiem.3686","DOIUrl":"https://doi.org/10.3926/jiem.3686","url":null,"abstract":"Purpose: This research aims to investigate which are the green purchasing practices that Portuguese manufacturing companies have been using and the relationship with company overall performance. This paper focuses on green-purchasing practices, such as green products, green suppliers, environmental collaboration with suppliers, green packaging, and reverse logistics, to ensure sustainable practices in the supply chain, and the influence of those practices on firm’s performance was investigated from the perspective of managers perception.Design/methodology/approach: A qualitative approach was adopted, based on eight case studies. Data was collected from semi-structured interviews with procurement managers from Portuguese manufacturing industry and from reports, websites and companies’ internal documentation. To analyze the impact of green purchasing practices on company overall performance a conceptual model was proposed.Findings: The results support three out of five propositions of this research, and evidence reveals that green purchasing practices improves company overall performance. Provides evidence that the implementation of those practices positively influences overall company performance, it also identifies the most frequent green purchasing practices that may help businesses in adopting environmental initiatives.Research limitations/implications: While the sample included organizations from several economic sectors, it was based on just a sample of eight case studies and the findings may not be valid in different sectors. This research focuses on green procurement from a country's perspective, which reduces the ability to generalize the findings to other countries.Practical implications: Managers might utilize the results of this study to develop and implement green purchasing practices and enhance organizations' overall performance via their adoption.Social implications: This research contributes to the current discussion in green supply chain literature.Originality/value: This study contributes to the existing body of research on the effects of implementing green purchasing practices into the procurement function.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"22 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135633813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: The objective of this work is to analyze the state of the art of the smart supply chain (SSC) research. Given the pace of current technological change, there is a need to analyze the new features of the SSC, related to digital technologies and the incorporation of services.Design/methodology/approach: A systematic review of the literature is addressed, analyzing the latest studies on the subject. This methodology allows proposing a conceptualization of the SSC and incorporate new elements of analysis.Findings: The results show that much of the innovation and instrumentalization of supply chains involves incorporating digital services to expand their functionalities, especially in terms of agility and connectivity. The servitization of supply chains is therefore a key new feature. Put in relation to other characteristics identified in the literature, a cycle of continuous improvement is proposed as a conceptual structure for the SSC.Originality/value: This study contributes to strengthening the theoretical foundations of SSCs and serves as a guide for researchers and practitioners.
{"title":"The smart supply chain: A conceptual cyclic framework","authors":"Nuria Perales Prieto, M. Martín-Peña","doi":"10.3926/jiem.4018","DOIUrl":"https://doi.org/10.3926/jiem.4018","url":null,"abstract":"Purpose: The objective of this work is to analyze the state of the art of the smart supply chain (SSC) research. Given the pace of current technological change, there is a need to analyze the new features of the SSC, related to digital technologies and the incorporation of services.Design/methodology/approach: A systematic review of the literature is addressed, analyzing the latest studies on the subject. This methodology allows proposing a conceptualization of the SSC and incorporate new elements of analysis.Findings: The results show that much of the innovation and instrumentalization of supply chains involves incorporating digital services to expand their functionalities, especially in terms of agility and connectivity. The servitization of supply chains is therefore a key new feature. Put in relation to other characteristics identified in the literature, a cycle of continuous improvement is proposed as a conceptual structure for the SSC.Originality/value: This study contributes to strengthening the theoretical foundations of SSCs and serves as a guide for researchers and practitioners.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"1 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90814280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: Using the knowledge-based view as the theoretical lens, this study aims to assess the effect of middle managers’ ambidexterity, continuous improvement and organizational agility on the business performance within the manufacturing and service industries.Design/methodology/approach: Quantitative survey was carried out using questionnaire whose data were collected from 197 middle managers’ responses collected in 2021. Structural Equation Modeling was used to analyze the direct and mediation relationships.Findings: The results demonstrated that the relationship between middle managers’ ambidexterity and business performance was insignificant but fully mediated by continuous improvement capacity and organizational agility. In both manufacturing and service sectors, our research also confirmed that middle managers have an important role in building continuous improvement capacity and organizational agility. The interchange between exploration and exploitation capabilities is an important competency that today’s middle managers should have.Originality/value: This study is amongst the first to investigate the phenomenon of middle managers’ ambidexterity in both manufacturing and service sectors from the knowledge-based view theory. The new knowledge is generated from the in-depth investigation of how middle managers interchangeably use their exploiting and exploring capabilities to achieve their business performances.
{"title":"The impacts of middle managers' ambidexterity, continuous improvement, and organizational agility on business performance: A knowledge-based view","authors":"F. Alamsjah, Muhammad Asrol","doi":"10.3926/jiem.4610","DOIUrl":"https://doi.org/10.3926/jiem.4610","url":null,"abstract":"Purpose: Using the knowledge-based view as the theoretical lens, this study aims to assess the effect of middle managers’ ambidexterity, continuous improvement and organizational agility on the business performance within the manufacturing and service industries.Design/methodology/approach: Quantitative survey was carried out using questionnaire whose data were collected from 197 middle managers’ responses collected in 2021. Structural Equation Modeling was used to analyze the direct and mediation relationships.Findings: The results demonstrated that the relationship between middle managers’ ambidexterity and business performance was insignificant but fully mediated by continuous improvement capacity and organizational agility. In both manufacturing and service sectors, our research also confirmed that middle managers have an important role in building continuous improvement capacity and organizational agility. The interchange between exploration and exploitation capabilities is an important competency that today’s middle managers should have.Originality/value: This study is amongst the first to investigate the phenomenon of middle managers’ ambidexterity in both manufacturing and service sectors from the knowledge-based view theory. The new knowledge is generated from the in-depth investigation of how middle managers interchangeably use their exploiting and exploring capabilities to achieve their business performances.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"1 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89267665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: This study aims to empirically test and analyze the role of Green Human Resource Management (GHRM) and Green Supply Chain Management (GSCM) and Green Lifestyle on business sustainability mediated by digital skills.Design/Methodology: This study involved logistics managers at manufacturing companies in DKI Jakarta and West Java, Indonesia. It is because these two provinces have the largest manufacturing companies in Indonesia. From a late survey, the researchers obtained data from 250 questionnaires that were distributed. Then from all the data, there were 218 data that could be processed for further analysis. This study utilized the Structural Equation Model (SEM) analysis technique with AMOS 24 software in the data testing process.Findings: This study has confirmed a number of findings including: With the current COVID-19 Pandemic, Green Human Resources Management (GRHM) and Green Supply Chain Management (GSCM) are needed in Business Sustainability. GSCM has a positive effect on Business Sustainability (BS). Indonesia is also facing a revolution of 4.0 and 5.0, and Green Human Resources Management (GHRM) practice has an influence on BS and is deemed having significant and positive effect. In addition, manufacturing companies support the practice of green environment so that Green Supply Chain Management (GSCM) practice needs Digital Skill (DS) in enhancing its performance. Also, it has been proven in this research that GSCM has positive and significant effect. Digital Skill (DS), however, has no direct effect on Business Sustainability (BS).Research Limitation/Implications: This study focuses on the scope of green human resource management, green supply chain management, and green lifestyle and their impact on business sustainability mediated by digital skills. The next study is expected to examine the concept of green human resource management in service companies in order to obtain unique findings and confirm the relevance of the green human resource management concept in various business phenomena.Originality/value: This study explains the concept of Green Human Resource Management (GHRM), Green Supply Chain Management (GSCM) and Green Lifestyle (GL) towards Business Sustainability (BS) which is a different concept from the concept of Human Resource Management (HRM) implemented in manufacturing companies. In addition, this study discusses the green supply chain in its influence on business sustainability. Also, this study explains the role of the concept of Digital Skills (DS) in influencing Business Sustainability (BS).Practical and Social Implication: This study is expected to be a reference for practitioners, especially in the fields of Green Human Resource Management (GHRM), Green Lifestyle (GL), and Green Supply Chain Management (GSCM) in improving Business Sustainability (BS). Furthermore, the concept of green human resource management can be used by organizations as an effective alternative to increase responsibility in increa
{"title":"Green human resource management, green supply chain management, green lifestyle: Their effect on business sustainability mediated by digital skills","authors":"R. Setyaningrum, Muafi Muafi","doi":"10.3926/jiem.4152","DOIUrl":"https://doi.org/10.3926/jiem.4152","url":null,"abstract":"Purpose: This study aims to empirically test and analyze the role of Green Human Resource Management (GHRM) and Green Supply Chain Management (GSCM) and Green Lifestyle on business sustainability mediated by digital skills.Design/Methodology: This study involved logistics managers at manufacturing companies in DKI Jakarta and West Java, Indonesia. It is because these two provinces have the largest manufacturing companies in Indonesia. From a late survey, the researchers obtained data from 250 questionnaires that were distributed. Then from all the data, there were 218 data that could be processed for further analysis. This study utilized the Structural Equation Model (SEM) analysis technique with AMOS 24 software in the data testing process.Findings: This study has confirmed a number of findings including: With the current COVID-19 Pandemic, Green Human Resources Management (GRHM) and Green Supply Chain Management (GSCM) are needed in Business Sustainability. GSCM has a positive effect on Business Sustainability (BS). Indonesia is also facing a revolution of 4.0 and 5.0, and Green Human Resources Management (GHRM) practice has an influence on BS and is deemed having significant and positive effect. In addition, manufacturing companies support the practice of green environment so that Green Supply Chain Management (GSCM) practice needs Digital Skill (DS) in enhancing its performance. Also, it has been proven in this research that GSCM has positive and significant effect. Digital Skill (DS), however, has no direct effect on Business Sustainability (BS).Research Limitation/Implications: This study focuses on the scope of green human resource management, green supply chain management, and green lifestyle and their impact on business sustainability mediated by digital skills. The next study is expected to examine the concept of green human resource management in service companies in order to obtain unique findings and confirm the relevance of the green human resource management concept in various business phenomena.Originality/value: This study explains the concept of Green Human Resource Management (GHRM), Green Supply Chain Management (GSCM) and Green Lifestyle (GL) towards Business Sustainability (BS) which is a different concept from the concept of Human Resource Management (HRM) implemented in manufacturing companies. In addition, this study discusses the green supply chain in its influence on business sustainability. Also, this study explains the role of the concept of Digital Skills (DS) in influencing Business Sustainability (BS).Practical and Social Implication: This study is expected to be a reference for practitioners, especially in the fields of Green Human Resource Management (GHRM), Green Lifestyle (GL), and Green Supply Chain Management (GSCM) in improving Business Sustainability (BS). Furthermore, the concept of green human resource management can be used by organizations as an effective alternative to increase responsibility in increa","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"38 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75074883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This preliminary study aims to compare the production capacity of the convection SMEs in Banyumas. The method used is quantitative, namely the cost estimation analysis and the Analysis of Variance (ANOVA) test, to calculate the statistical significance of production among the three SMEs. Based on the cost estimation analysis calculation, SME C has the highest production cost compared to SMEs A and B. The ANOVA test results significantly differ between the three convection SMEs' production capacity. The production capacity of SME B is higher than SME A and SME C. In practice, SME convection requires increasing production capacity, optimizing marketing strategies, and a product innovation approach to maintain business sustainability
{"title":"Preliminary study on cost analysis estimation and production yield of SMEs convection in Banyumas, Indonesia","authors":"Fauzan Romadlon, Firdayanthi Lestiana, Tslasa Audrey, Putri Rahmania, Putri Nur Faizah","doi":"10.52088/jaiem.v1i1.1","DOIUrl":"https://doi.org/10.52088/jaiem.v1i1.1","url":null,"abstract":"This preliminary study aims to compare the production capacity of the convection SMEs in Banyumas. The method used is quantitative, namely the cost estimation analysis and the Analysis of Variance (ANOVA) test, to calculate the statistical significance of production among the three SMEs. Based on the cost estimation analysis calculation, SME C has the highest production cost compared to SMEs A and B. The ANOVA test results significantly differ between the three convection SMEs' production capacity. The production capacity of SME B is higher than SME A and SME C. In practice, SME convection requires increasing production capacity, optimizing marketing strategies, and a product innovation approach to maintain business sustainability","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"1 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75118245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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