With the development of social economy, fresh food sales are increasing and become more important in supermarket operation. However, due to the seasonal impact of fresh products and their perishability, fresh foods can easily deteriorate in transit which lead to losses. The control strategy of fresh product inventory is the key point of supermarket inventory management. Therefore, the inventory control strategy of fresh products is the key of supermarket supply chain management. This paper analyzes the problems existing in the sales and inventory management of fresh pork in Shang Mao Cheng Supermarket, and analyzes the factors affecting the demand with the EOQ model, and establishes an inventory optimization model with the deterioration rate as a constant and the demand influenced by both price and freshness. MATLAB was used to solve the optimal order volume and order cycle and the optimal sales price per day, and the feasible suggestions were put forward for the fresh goods inventory management of the supermarket.
{"title":"Inventory Optimization of Fresh Foods Based on Shang Mao Cheng Supermarket","authors":"Ke Huang","doi":"10.1145/3364335.3364384","DOIUrl":"https://doi.org/10.1145/3364335.3364384","url":null,"abstract":"With the development of social economy, fresh food sales are increasing and become more important in supermarket operation. However, due to the seasonal impact of fresh products and their perishability, fresh foods can easily deteriorate in transit which lead to losses. The control strategy of fresh product inventory is the key point of supermarket inventory management. Therefore, the inventory control strategy of fresh products is the key of supermarket supply chain management. This paper analyzes the problems existing in the sales and inventory management of fresh pork in Shang Mao Cheng Supermarket, and analyzes the factors affecting the demand with the EOQ model, and establishes an inventory optimization model with the deterioration rate as a constant and the demand influenced by both price and freshness. MATLAB was used to solve the optimal order volume and order cycle and the optimal sales price per day, and the feasible suggestions were put forward for the fresh goods inventory management of the supermarket.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123352051","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 article reflects bifurcation points analysis for Ukrainian economy since 2005. Development of Ukrainian economy is atypical both for developed and emerging countries. The case is related with significant changes in politics situation and economic life of Ukraine, including, mass riots, soft revolution, war and annexation of part of the territory. In conditions of instability, the requirements for economists education quality increase. Economists for decision-making must fully understand the situation. The authors of the article shows case study of Ukraine, how to combine traditional mathematical approach and situation observation for analysis of regional development. The research is an example of method of training and practical application of the analysis of the situation in changing conditions.
{"title":"Bifurcation Points Analysis Application in Economic Studies","authors":"M. Demianchuk, N. Maslii, V. Skribans","doi":"10.1145/3364335.3364405","DOIUrl":"https://doi.org/10.1145/3364335.3364405","url":null,"abstract":"The article reflects bifurcation points analysis for Ukrainian economy since 2005. Development of Ukrainian economy is atypical both for developed and emerging countries. The case is related with significant changes in politics situation and economic life of Ukraine, including, mass riots, soft revolution, war and annexation of part of the territory. In conditions of instability, the requirements for economists education quality increase. Economists for decision-making must fully understand the situation. The authors of the article shows case study of Ukraine, how to combine traditional mathematical approach and situation observation for analysis of regional development. The research is an example of method of training and practical application of the analysis of the situation in changing conditions.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122912288","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}
Research on management innovation methods based on TRIZ (Inventive Problem Solving Theory) will significantly improve the ability of enterprise management conflict resolution in China. The TRIZ tool, namely 40 Innovation Principles has become the mostly common applied TRIZ method in enterprise management. However, this method faces the difficulty of screening suitable innovation principles at the operational level, which seriously hinders the normal application of the method. This study used the Delphi method to select the suitable innovation principles. This paper took the conflict resolution between the general management parameters "improving product and service quality vs. reducing cost" as an example to explore the impact of 40 Innovation Principles on the conflict resolution. The Delphi method applied multiple rounds of questionnaires in the expert group, and the recovery questionnaire was analyzed to obtain an proper selection of the principles.
{"title":"Screening of General Innovation Principles for Management Conflict Resolution","authors":"Min Wang, Dongsheng Zhang","doi":"10.1145/3364335.3364402","DOIUrl":"https://doi.org/10.1145/3364335.3364402","url":null,"abstract":"Research on management innovation methods based on TRIZ (Inventive Problem Solving Theory) will significantly improve the ability of enterprise management conflict resolution in China. The TRIZ tool, namely 40 Innovation Principles has become the mostly common applied TRIZ method in enterprise management. However, this method faces the difficulty of screening suitable innovation principles at the operational level, which seriously hinders the normal application of the method. This study used the Delphi method to select the suitable innovation principles. This paper took the conflict resolution between the general management parameters \"improving product and service quality vs. reducing cost\" as an example to explore the impact of 40 Innovation Principles on the conflict resolution. The Delphi method applied multiple rounds of questionnaires in the expert group, and the recovery questionnaire was analyzed to obtain an proper selection of the principles.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122043260","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}
Extreme weather events have been one of the biggest challenges in the mining sector. One alternative to mitigate these risks is to improve the prediction of extreme weather events occur. One of the common extreme weather events faced by the mining sector is extreme rainfall. Continuous extreme rainfall can give rise to flooding events, which might disrupt the supply chain and operation of the mining sector. Previously, extreme rainfall prediction is conducted by employing the traditional statistical methods such as linear regression or autoregressive integrated moving average (ARIMA). Those methods result in good accuracy; however, they do not cover some of the assumptions of the data. Along with the development of information technology, advanced method, namely machine learning, is conducted. Thus, this study employed machine learning to predict the rainfall duration in open-pit mining. The predictive models constructed are a feed-forward neural network and an ARIMA model. This study also compared the performance of the neural network model and the ARIMA model by measuring its root mean square (RMSE). Based on the result, the neural network model outperforms the ARIMA model.
{"title":"Rain Forecasting for Production Capacity Planning at Open Pit Mining","authors":"Komarudin, David","doi":"10.1145/3364335.3364396","DOIUrl":"https://doi.org/10.1145/3364335.3364396","url":null,"abstract":"Extreme weather events have been one of the biggest challenges in the mining sector. One alternative to mitigate these risks is to improve the prediction of extreme weather events occur. One of the common extreme weather events faced by the mining sector is extreme rainfall. Continuous extreme rainfall can give rise to flooding events, which might disrupt the supply chain and operation of the mining sector. Previously, extreme rainfall prediction is conducted by employing the traditional statistical methods such as linear regression or autoregressive integrated moving average (ARIMA). Those methods result in good accuracy; however, they do not cover some of the assumptions of the data. Along with the development of information technology, advanced method, namely machine learning, is conducted. Thus, this study employed machine learning to predict the rainfall duration in open-pit mining. The predictive models constructed are a feed-forward neural network and an ARIMA model. This study also compared the performance of the neural network model and the ARIMA model by measuring its root mean square (RMSE). Based on the result, the neural network model outperforms the ARIMA model.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131070107","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}
Transportation activity is one of the main contributors to the overall logistics costs of a company. One of the ways to minimize the cost that comes from this activity is through the optimization of the distribution route. However, with the growth of delivery points, the possible routes combinations are growing in a nonlinear fashion, increasing the complexity to obtain the optimal combination of the distribution routes. In this paper, we present a simple modified clarke-wright algorithm with the implementation of heuristic pruning to deal with time and space complexity in a case of very large scale capacitated vehicle routing problem. The resulting algorithm can solve a very large routing problem with several thousand customers within a minute and produce relatively good solutions compared to the state-of-the-art algorithm, especially for the problem with a depot located at the center. Furthermore, the algorithm is also tested to solve a very large scale problem of FMCG company in Indonesia with 32,223 delivery points.
{"title":"Optimization of Very Large Scale Capacitated Vehicle Routing Problems","authors":"Komarudin, A. Chandra","doi":"10.1145/3364335.3364389","DOIUrl":"https://doi.org/10.1145/3364335.3364389","url":null,"abstract":"Transportation activity is one of the main contributors to the overall logistics costs of a company. One of the ways to minimize the cost that comes from this activity is through the optimization of the distribution route. However, with the growth of delivery points, the possible routes combinations are growing in a nonlinear fashion, increasing the complexity to obtain the optimal combination of the distribution routes. In this paper, we present a simple modified clarke-wright algorithm with the implementation of heuristic pruning to deal with time and space complexity in a case of very large scale capacitated vehicle routing problem. The resulting algorithm can solve a very large routing problem with several thousand customers within a minute and produce relatively good solutions compared to the state-of-the-art algorithm, especially for the problem with a depot located at the center. Furthermore, the algorithm is also tested to solve a very large scale problem of FMCG company in Indonesia with 32,223 delivery points.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133649374","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}
Hamizan Sharbini, Nur Aisyah binti Masrizal, Po-Chan Chiu, W. Cheah, A. A. Julaihi, Ping-Ping Tan, Noor Alamshah Bolhassan
This paper will discuss about general crowd behaviour modeling during evacuation in emergency situation such as during fire breakout. Several existing simulation tools and comparison among each tool will also be discussed. The aim of this project is to develop a generic crowd model, which has the ability to demonstrate individual crowd behaviours (micro level) especially in fire emergency situation with one or more exits. The program will be able to estimate the evacuation time of panic situation during fire breakout. Apart from that, this paper also will analyze and prove that the individual agent in the simulation is able to detect and avoid collision. During panic situation, agents need to search for the exit in order to save themselves from danger. The proposed crowd simulation used agent in 2D as to simulate the crowd behaviour model while steering towards the exit.
{"title":"The Analysis of 2D Crowd Behaviour Simulation during Emergency Situation","authors":"Hamizan Sharbini, Nur Aisyah binti Masrizal, Po-Chan Chiu, W. Cheah, A. A. Julaihi, Ping-Ping Tan, Noor Alamshah Bolhassan","doi":"10.1145/3364335.3365586","DOIUrl":"https://doi.org/10.1145/3364335.3365586","url":null,"abstract":"This paper will discuss about general crowd behaviour modeling during evacuation in emergency situation such as during fire breakout. Several existing simulation tools and comparison among each tool will also be discussed. The aim of this project is to develop a generic crowd model, which has the ability to demonstrate individual crowd behaviours (micro level) especially in fire emergency situation with one or more exits. The program will be able to estimate the evacuation time of panic situation during fire breakout. Apart from that, this paper also will analyze and prove that the individual agent in the simulation is able to detect and avoid collision. During panic situation, agents need to search for the exit in order to save themselves from danger. The proposed crowd simulation used agent in 2D as to simulate the crowd behaviour model while steering towards the exit.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129405606","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}
At the moment, healthcare services, such as dental clinics, have the same opportunities as other industries of utilizing ERP systems to escalate their activities. Unfortunately, ERP systems still have to go through problems associated with clinical personnel, who interact with the system using its UI, before it can be fully utilized. To solve this problem, a user interface redesign was needed so that ERP could fully satisfy the needs of clinical personnel. Therefore, design thinking was chosen and used as the design approach with its user-oriented nature that has been proven with various forms of successful interventions within healthcare services. The prototype of the redesigned user interface was made to visually deliver most of the previously unmet needs from personnel. Furthermore, by incorporating UT and PSSUQ survey as measurement instruments into the design thinking, researchers were able to justify the prototype for its improvement in usability after scoring lower time on tasks while preventing some errors, also for increased satisfaction perceived by users compared to the current UI.
{"title":"User Interface Redesign of Dental Clinic ERP System using Design Thinking: A Case Study","authors":"A. Suzianti, Galang Arrafah","doi":"10.1145/3364335.3364369","DOIUrl":"https://doi.org/10.1145/3364335.3364369","url":null,"abstract":"At the moment, healthcare services, such as dental clinics, have the same opportunities as other industries of utilizing ERP systems to escalate their activities. Unfortunately, ERP systems still have to go through problems associated with clinical personnel, who interact with the system using its UI, before it can be fully utilized. To solve this problem, a user interface redesign was needed so that ERP could fully satisfy the needs of clinical personnel. Therefore, design thinking was chosen and used as the design approach with its user-oriented nature that has been proven with various forms of successful interventions within healthcare services. The prototype of the redesigned user interface was made to visually deliver most of the previously unmet needs from personnel. Furthermore, by incorporating UT and PSSUQ survey as measurement instruments into the design thinking, researchers were able to justify the prototype for its improvement in usability after scoring lower time on tasks while preventing some errors, also for increased satisfaction perceived by users compared to the current UI.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122913735","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 objectives of this paper are to 1) explore the levels of satisfaction of shippers on service quality of international freight forwarders based on SERVQUAL model with an additional cost dimension, and 2) investigate the relationship between shipper perception on service quality of international freight forwarders and the shippers' company performance. 237 valid questionnaires were collected from managers of exporting companies in the furniture business. Descriptive statistics, t-test, importance-performance analysis, and multiple regressions were applied to analyze data. It was found that service cost had highest mean scores in both perception and expectation, while tangible had lowest mean values in both perception and expectation. There were significant differences between perceptions and expectations on every service quality dimension. Most dissatisfied service dimensions were service cost, reliability, responsiveness, empathy, assurance, and tangible, respectively. Responsiveness had significant positive impact on shipper performance, while tangible had significant negative effect on shipper performance.
{"title":"An Analysis of Logistics Service Quality and Performance","authors":"Nonglak Limsomkiat, Assadej Vanichchinchai","doi":"10.1145/3364335.3364353","DOIUrl":"https://doi.org/10.1145/3364335.3364353","url":null,"abstract":"The objectives of this paper are to 1) explore the levels of satisfaction of shippers on service quality of international freight forwarders based on SERVQUAL model with an additional cost dimension, and 2) investigate the relationship between shipper perception on service quality of international freight forwarders and the shippers' company performance. 237 valid questionnaires were collected from managers of exporting companies in the furniture business. Descriptive statistics, t-test, importance-performance analysis, and multiple regressions were applied to analyze data. It was found that service cost had highest mean scores in both perception and expectation, while tangible had lowest mean values in both perception and expectation. There were significant differences between perceptions and expectations on every service quality dimension. Most dissatisfied service dimensions were service cost, reliability, responsiveness, empathy, assurance, and tangible, respectively. Responsiveness had significant positive impact on shipper performance, while tangible had significant negative effect on shipper performance.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128878002","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}
A. Hidayatno, Irvanu Rahman, Desi Likman Daniyasti
Leading the car market in the Southeast Asia region, Indonesian automotive industry is considered as one of important pillars of manufacturing sector due to its significant contribution to national economic growth. Along with the presence of the next wave industrial revolution, Industry 4.0 creates an opportunity for the Indonesian government to not only stimulate further growth of the sector, but also increase energy efficiency simultaneously. However, the complexity of structural challenges that exists in the automotive industry has raised a question, what aspects or factors that could accelerate the technology adoption process? This paper aims to explore the policy structure that could influence the growth of Industry 4.0 technology adoption in improving energy efficiency in the Indonesian automotive industry. The exploration will be explored through a qualitative conceptual model, developed within system dynamics modeling approach, to provide an understanding of the causal relationship and dynamics between factors included in the fourth industrial ecosystem creation in Indonesia.
{"title":"Conceptualizing the Promise of Industry 4.0 Technology Adoption: Case Study of Indonesian Automotive Industry","authors":"A. Hidayatno, Irvanu Rahman, Desi Likman Daniyasti","doi":"10.1145/3364335.3364350","DOIUrl":"https://doi.org/10.1145/3364335.3364350","url":null,"abstract":"Leading the car market in the Southeast Asia region, Indonesian automotive industry is considered as one of important pillars of manufacturing sector due to its significant contribution to national economic growth. Along with the presence of the next wave industrial revolution, Industry 4.0 creates an opportunity for the Indonesian government to not only stimulate further growth of the sector, but also increase energy efficiency simultaneously. However, the complexity of structural challenges that exists in the automotive industry has raised a question, what aspects or factors that could accelerate the technology adoption process? This paper aims to explore the policy structure that could influence the growth of Industry 4.0 technology adoption in improving energy efficiency in the Indonesian automotive industry. The exploration will be explored through a qualitative conceptual model, developed within system dynamics modeling approach, to provide an understanding of the causal relationship and dynamics between factors included in the fourth industrial ecosystem creation in Indonesia.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120945429","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}
Daniella Cruces-Flores, Gustavo Valdivia-Capellino, Cesar Ramirez-Valdivia, José María Álvarez, Carlos Arturo Raymundo Ibañez
This article describes how using logistics management models in collaboration with a process traceability system improves storage management processes in the coffee supply chain by reducing losses and high storage-related logistics costs, with support from a digital transformation process. For the purposes of this study, data on times and costs incurred as per the corresponding criteria and purchasing power, errors in order specifications, and delivery delays that result in losses were used, as these cause coffee to lose market value within an organization in a cooperative setting (business associations).
{"title":"A Cooperative Logistics Management Model Based on Traceability for Reducing the Logistics Costs of Coffee Storage in Peru's Agro-Export Sector","authors":"Daniella Cruces-Flores, Gustavo Valdivia-Capellino, Cesar Ramirez-Valdivia, José María Álvarez, Carlos Arturo Raymundo Ibañez","doi":"10.1145/3364335.3364380","DOIUrl":"https://doi.org/10.1145/3364335.3364380","url":null,"abstract":"This article describes how using logistics management models in collaboration with a process traceability system improves storage management processes in the coffee supply chain by reducing losses and high storage-related logistics costs, with support from a digital transformation process. For the purposes of this study, data on times and costs incurred as per the corresponding criteria and purchasing power, errors in order specifications, and delivery delays that result in losses were used, as these cause coffee to lose market value within an organization in a cooperative setting (business associations).","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114204404","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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