Pub Date : 2023-01-10DOI: 10.3390/logistics7010003
Mehrnaz Bathaee, H. Nozari, Agnieszka Szmelter-Jarosz
Background: In this paper, a new closed-loop supply chain (CLSC) network model, including economic, social and environmental goals, is designed. This paper’s primary purpose is to meet customers’ uncertain demands in different scenarios where the new robust-fuzzy-probabilistic method has been used to estimate the exact demand. Furthermore, strategic and tactical decisions, such as vehicle routing, facility location and optimal flow allocation in the CLSC network, are considered, and features such as queuing system in product distribution and time window in product delivery are considered. Methods: To solve the problem, NSGA II and MOPSO have been used. Results: The results of solving numerical examples in larger sizes show that as the environmental effects decrease and the social effects increase, the design costs of the total supply chain network (SCN) increase. Moreover, the NSGA II is more efficient than the MOPSO in problem-solving and achieving comparison indicators. Conclusions: The results of sensitivity analysis show that with increasing network uncertainty rate, the total costs of the SCN, the amount of greenhouse gas emissions and the maximum vehicle traffic time increase.
{"title":"Designing a New Location-Allocation and Routing Model with Simultaneous Pick-Up and Delivery in a Closed-Loop Supply Chain Network under Uncertainty","authors":"Mehrnaz Bathaee, H. Nozari, Agnieszka Szmelter-Jarosz","doi":"10.3390/logistics7010003","DOIUrl":"https://doi.org/10.3390/logistics7010003","url":null,"abstract":"Background: In this paper, a new closed-loop supply chain (CLSC) network model, including economic, social and environmental goals, is designed. This paper’s primary purpose is to meet customers’ uncertain demands in different scenarios where the new robust-fuzzy-probabilistic method has been used to estimate the exact demand. Furthermore, strategic and tactical decisions, such as vehicle routing, facility location and optimal flow allocation in the CLSC network, are considered, and features such as queuing system in product distribution and time window in product delivery are considered. Methods: To solve the problem, NSGA II and MOPSO have been used. Results: The results of solving numerical examples in larger sizes show that as the environmental effects decrease and the social effects increase, the design costs of the total supply chain network (SCN) increase. Moreover, the NSGA II is more efficient than the MOPSO in problem-solving and achieving comparison indicators. Conclusions: The results of sensitivity analysis show that with increasing network uncertainty rate, the total costs of the SCN, the amount of greenhouse gas emissions and the maximum vehicle traffic time increase.","PeriodicalId":56264,"journal":{"name":"Logistics-Basel","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44237593","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}
Pub Date : 2023-01-03DOI: 10.3390/logistics7010001
Sara Romagnoli, Claudia Tarabu', Behzad Maleki Vishkaei, Pietro De Giovanni
Background: This study investigates how firms can enhance the functionality of their circular supply chains (CSCs) by adopting a portfolio of sustainable practices as well as digital technologies to increase performance. It analyzes the benefits that firms can obtain when investing in specific technologies to boost the impact of technologies and sustainable practices on CSCs, and further increase performance. Methods: We test several hypotheses by using structural equation modeling as well as multi-group analysis to verify whether CSCs can be achieved through sustainable practices and technologies and improve the firms’ performance. Results: The empirical results partially support the research hypotheses. While the main research hypotheses are fully supported, the analysis of single digital technologies reveals that only a few solutions can contribute to both the management and the improvement of the CSC. Conclusions: Our findings demonstrate that the identification of green suppliers and ad hoc environmental regulations, combined with attention to the origin and provenance of raw materials, can promote a CSC. Moreover, transportation management systems (TMS) and the internet of things (IoT) are efficient technologies for managing transportation and product flow in the CSC. Furthermore, machine learning (ML) is effective in making positive green decisions, and 3D printing can extend product life.
{"title":"The Impact of Digital Technologies and Sustainable Practices on Circular Supply Chain Management","authors":"Sara Romagnoli, Claudia Tarabu', Behzad Maleki Vishkaei, Pietro De Giovanni","doi":"10.3390/logistics7010001","DOIUrl":"https://doi.org/10.3390/logistics7010001","url":null,"abstract":"Background: This study investigates how firms can enhance the functionality of their circular supply chains (CSCs) by adopting a portfolio of sustainable practices as well as digital technologies to increase performance. It analyzes the benefits that firms can obtain when investing in specific technologies to boost the impact of technologies and sustainable practices on CSCs, and further increase performance. Methods: We test several hypotheses by using structural equation modeling as well as multi-group analysis to verify whether CSCs can be achieved through sustainable practices and technologies and improve the firms’ performance. Results: The empirical results partially support the research hypotheses. While the main research hypotheses are fully supported, the analysis of single digital technologies reveals that only a few solutions can contribute to both the management and the improvement of the CSC. Conclusions: Our findings demonstrate that the identification of green suppliers and ad hoc environmental regulations, combined with attention to the origin and provenance of raw materials, can promote a CSC. Moreover, transportation management systems (TMS) and the internet of things (IoT) are efficient technologies for managing transportation and product flow in the CSC. Furthermore, machine learning (ML) is effective in making positive green decisions, and 3D printing can extend product life.","PeriodicalId":56264,"journal":{"name":"Logistics-Basel","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44075012","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}
Pub Date : 2023-01-03DOI: 10.3390/logistics7010002
A. Bhardwaj, R. Soni, L. Singh, R. Mor
Background: Bread, a basic need for the survival of human beings, is highly perishable, has a short shelf-life, and loses its quality and potency after its date of expiry. This leads to a considerable amount of bread waste and loss in the economy. This study explores and analyses the most common causes of wastage in the bread supply chain and proposes key strategies for waste mitigation in bread-producing industries in the context of Indian bakeries. Methods: Based on a systematic literature review and pilot studies, Monte-Carlo simulation techniques were applied to conduct the analysis. Results: The results indicate that bread should be recalled from the market after three days rather than the usual six, and the strategy used by companies A and E (in this study) is recommended. Conclusions: These tactics ensure that any bread returned to the company is in great condition, giving us two to three days to transform the bread into some by-products. It will help managers, decision makers, and specialists create a successful waste-reduction strategy.
{"title":"A Simulation Approach for Waste Reduction in the Bread Supply Chain","authors":"A. Bhardwaj, R. Soni, L. Singh, R. Mor","doi":"10.3390/logistics7010002","DOIUrl":"https://doi.org/10.3390/logistics7010002","url":null,"abstract":"Background: Bread, a basic need for the survival of human beings, is highly perishable, has a short shelf-life, and loses its quality and potency after its date of expiry. This leads to a considerable amount of bread waste and loss in the economy. This study explores and analyses the most common causes of wastage in the bread supply chain and proposes key strategies for waste mitigation in bread-producing industries in the context of Indian bakeries. Methods: Based on a systematic literature review and pilot studies, Monte-Carlo simulation techniques were applied to conduct the analysis. Results: The results indicate that bread should be recalled from the market after three days rather than the usual six, and the strategy used by companies A and E (in this study) is recommended. Conclusions: These tactics ensure that any bread returned to the company is in great condition, giving us two to three days to transform the bread into some by-products. It will help managers, decision makers, and specialists create a successful waste-reduction strategy.","PeriodicalId":56264,"journal":{"name":"Logistics-Basel","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47596869","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}
Pub Date : 2022-12-19DOI: 10.3390/logistics6040086
V. Tsapi, Marie-Noël Assene, H. Haasis
Background: Beef, because of its high protein content, occupies a privileged place in household consumption in Cameroon. However, the quality of the meat available on the market and the prices charged are far from satisfactory for consumers. There is therefore clearly a problem of physical and financial accessibility to quality beef for the Cameroonian consumer (in a country where 37.5% of the population lives below the poverty line). Methods: To analyze this problem, a qualitative exploratory study based on interviews and on-site observations was conducted. Results: In the article, we are interested in the Supply Chain (SC) of beef in Cameroon, with the aim of understanding its dynamics and highlighting the main obstacles that prevent the actors involved from ensuring consumers, the availability of quality meat at a reasonable price. Through the qualitative exploratory study conducted with the main actors involved (breeders, livestock traders, modern and traditional slaughterhouses, butchers, etc.), we show that the SC of beef in Cameroon is plagued by technical, financial, managerial and cultural constraints that prevent them from satisfying their customers and to take full advantage of their activities. Conclusions: Despite the methodological limits related to sampling and an essentially qualitative approach, the quality and richness of the information collected through in-depth interviews edify the main difficulties and challenges encountered by the actors and lead to managerial implications and prospects of research.
{"title":"The Complexity of the Meat Supply Chain in Cameroon: Multiplicity of Actors, Interactions and Challenges","authors":"V. Tsapi, Marie-Noël Assene, H. Haasis","doi":"10.3390/logistics6040086","DOIUrl":"https://doi.org/10.3390/logistics6040086","url":null,"abstract":"Background: Beef, because of its high protein content, occupies a privileged place in household consumption in Cameroon. However, the quality of the meat available on the market and the prices charged are far from satisfactory for consumers. There is therefore clearly a problem of physical and financial accessibility to quality beef for the Cameroonian consumer (in a country where 37.5% of the population lives below the poverty line). Methods: To analyze this problem, a qualitative exploratory study based on interviews and on-site observations was conducted. Results: In the article, we are interested in the Supply Chain (SC) of beef in Cameroon, with the aim of understanding its dynamics and highlighting the main obstacles that prevent the actors involved from ensuring consumers, the availability of quality meat at a reasonable price. Through the qualitative exploratory study conducted with the main actors involved (breeders, livestock traders, modern and traditional slaughterhouses, butchers, etc.), we show that the SC of beef in Cameroon is plagued by technical, financial, managerial and cultural constraints that prevent them from satisfying their customers and to take full advantage of their activities. Conclusions: Despite the methodological limits related to sampling and an essentially qualitative approach, the quality and richness of the information collected through in-depth interviews edify the main difficulties and challenges encountered by the actors and lead to managerial implications and prospects of research.","PeriodicalId":56264,"journal":{"name":"Logistics-Basel","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47606141","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}
Pub Date : 2022-12-08DOI: 10.3390/logistics6040085
Büşra Ayan, Elif Güner, Semen Son-Turan
Background: This study presents a comprehensive review of blockchain technology with a sustainability orientation in supply chains and logistics. Methods: The publications are extracted from the Scopus and Web of Science databases, comprising 552 publications between 2017 and 2022. Several bibliometric laws and techniques, namely three-field analysis, Bradford’s Law, Lotka’s Law, and thematic maps, are applied in R with the bibliometrix package. Content analysis is also carried out based on 185 publications to appreciate the industry-based view of the field. Results: The bibliometric results indicate that this field is on the rise. Authors, sources, affiliations, countries, keywords, and their relationships are also addressed. The findings of the content analysis and thematic maps reveal that some of the most highlighted themes in the literature include traceability, COVID-19, the internet of things, and Industry 4.0. The most popular industry in this field is discovered to be food and agriculture. Conclusions: This paper contributes to the still relatively scarce literature on how blockchain technology fosters sustainable supply chains and logistics, providing a closer look at blockchain use, methodologies, and future directions for different industries concerning food, agriculture, fashion, textile and apparel, manufacturing, automotive, maritime and shipping, healthcare and pharmaceutical, mining and mineral, and energy.
背景:本研究对区块链技术在供应链和物流中的可持续发展方向进行了全面的综述。方法:从Scopus和Web of Science数据库中提取2017 - 2022年的552篇出版物。几个文献计量法和技术，即三场分析，布拉德福德定律，洛特卡定律，和专题地图，在R与bibliometrix包应用。内容分析也以185份出版物为基础，以了解该领域基于行业的观点。结果:文献计量学结果表明，该领域的研究呈上升趋势。作者、来源、隶属关系、国家、关键字及其关系也被处理。内容分析和专题地图的结果显示，文献中最突出的一些主题包括可追溯性、COVID-19、物联网和工业4.0。人们发现，这个领域最受欢迎的行业是食品和农业。结论:本文对区块链技术如何促进可持续供应链和物流的相关文献做出了贡献，为食品、农业、时尚、纺织和服装、制造业、汽车、海事和航运、医疗保健和制药、采矿和矿产以及能源等不同行业的区块链使用、方法和未来方向提供了更深入的研究。
{"title":"Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach","authors":"Büşra Ayan, Elif Güner, Semen Son-Turan","doi":"10.3390/logistics6040085","DOIUrl":"https://doi.org/10.3390/logistics6040085","url":null,"abstract":"Background: This study presents a comprehensive review of blockchain technology with a sustainability orientation in supply chains and logistics. Methods: The publications are extracted from the Scopus and Web of Science databases, comprising 552 publications between 2017 and 2022. Several bibliometric laws and techniques, namely three-field analysis, Bradford’s Law, Lotka’s Law, and thematic maps, are applied in R with the bibliometrix package. Content analysis is also carried out based on 185 publications to appreciate the industry-based view of the field. Results: The bibliometric results indicate that this field is on the rise. Authors, sources, affiliations, countries, keywords, and their relationships are also addressed. The findings of the content analysis and thematic maps reveal that some of the most highlighted themes in the literature include traceability, COVID-19, the internet of things, and Industry 4.0. The most popular industry in this field is discovered to be food and agriculture. Conclusions: This paper contributes to the still relatively scarce literature on how blockchain technology fosters sustainable supply chains and logistics, providing a closer look at blockchain use, methodologies, and future directions for different industries concerning food, agriculture, fashion, textile and apparel, manufacturing, automotive, maritime and shipping, healthcare and pharmaceutical, mining and mineral, and energy.","PeriodicalId":56264,"journal":{"name":"Logistics-Basel","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46509998","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}
Pub Date : 2022-12-08DOI: 10.3390/logistics6040084
Nikolaos Chondromatidis, Anastasios Gialos, V. Zeimpekis
Background: Order picking process is critical for accurate and efficient order fulfilment. Pick-by-vision is a promising technology that may support order picking process, however there is still a limited amount of research concerning the impact of this technology on the performance of order-picking. The purpose of this paper is to investigate certain operational and technical parameters that affect the performance of pick-by-vision technology in item-level order picking via a series of laboratory tests. Methods: A systematic literature review is conducted for the identification of parameters that affect pick-by-vision performance. Subsequently, the analytical hierarchy process is adopted to rank these parameters, concerning their impact on order picking. Then, the design of experiment and NASA task load index methodology are implemented for assessing pick-by-vision efficiency and perceived workload. Results: The results reveal the parameters that significantly affect the performance of the pick-by-vision system, as well as the best configuration of parameters for the implementation of the proposed system in real environments. Conclusions: The results obtained are encouraging, showing how pick-by-vision technology can support order picking efficiency. Furthermore, practical implications are presented that deal with the organizational culture, process re-engineering, staff resistance to change, and motivation for maintaining the new way of executing order-picking processes.
{"title":"Investigating the Performance of the Order-Picking Process by Using Smart Glasses: A Laboratory Experimental Approach","authors":"Nikolaos Chondromatidis, Anastasios Gialos, V. Zeimpekis","doi":"10.3390/logistics6040084","DOIUrl":"https://doi.org/10.3390/logistics6040084","url":null,"abstract":"Background: Order picking process is critical for accurate and efficient order fulfilment. Pick-by-vision is a promising technology that may support order picking process, however there is still a limited amount of research concerning the impact of this technology on the performance of order-picking. The purpose of this paper is to investigate certain operational and technical parameters that affect the performance of pick-by-vision technology in item-level order picking via a series of laboratory tests. Methods: A systematic literature review is conducted for the identification of parameters that affect pick-by-vision performance. Subsequently, the analytical hierarchy process is adopted to rank these parameters, concerning their impact on order picking. Then, the design of experiment and NASA task load index methodology are implemented for assessing pick-by-vision efficiency and perceived workload. Results: The results reveal the parameters that significantly affect the performance of the pick-by-vision system, as well as the best configuration of parameters for the implementation of the proposed system in real environments. Conclusions: The results obtained are encouraging, showing how pick-by-vision technology can support order picking efficiency. Furthermore, practical implications are presented that deal with the organizational culture, process re-engineering, staff resistance to change, and motivation for maintaining the new way of executing order-picking processes.","PeriodicalId":56264,"journal":{"name":"Logistics-Basel","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46861788","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}
Pub Date : 2022-12-06DOI: 10.3390/logistics6040083
Vasiliki Kapou, S. Ponis, G. Plakas, E. Aretoulaki
Background: This paper aims to improve the overall performance of manual warehouse Order Picking (OP) processes by proposing an innovative method for designing a picking area layout, and introducing a storage assignment strategy with respect to ergonomics and workers’ physical fatigue. Methods: The proposed method categorizes the available picking slots based on size and ABC analysis. Ιt takes into consideration a set of ergonomic constraints pertinent to the rack heights and travel distance restrictions for each slot type, leading to the assignment of a location to each slot type based on its individual characteristics. In doing so, the proposed method introduces an innovative ‘flame-shape’ aisle layout. Finally, the products are assigned to their optimal locations, targeting OP time minimization, balanced workload allocation, and ergonomics optimization through a ranking system measuring the ‘difficulty’ of retrieving the products based on their weight, popularity, and slot location. Results: The proposed method led to a productivity rise of 14.9% along with a significant decrease of the ‘difficulty’ index, by 31%. Conclusions: The results prove that a prominent performance improvement can be achieved when both travel distance and manual workload minimization are targeted for determining the picking area layout and storage design.
{"title":"An Innovative Layout Design and Storage Assignment Method for Manual Order Picking with Respect to Ergonomic Criteria","authors":"Vasiliki Kapou, S. Ponis, G. Plakas, E. Aretoulaki","doi":"10.3390/logistics6040083","DOIUrl":"https://doi.org/10.3390/logistics6040083","url":null,"abstract":"Background: This paper aims to improve the overall performance of manual warehouse Order Picking (OP) processes by proposing an innovative method for designing a picking area layout, and introducing a storage assignment strategy with respect to ergonomics and workers’ physical fatigue. Methods: The proposed method categorizes the available picking slots based on size and ABC analysis. Ιt takes into consideration a set of ergonomic constraints pertinent to the rack heights and travel distance restrictions for each slot type, leading to the assignment of a location to each slot type based on its individual characteristics. In doing so, the proposed method introduces an innovative ‘flame-shape’ aisle layout. Finally, the products are assigned to their optimal locations, targeting OP time minimization, balanced workload allocation, and ergonomics optimization through a ranking system measuring the ‘difficulty’ of retrieving the products based on their weight, popularity, and slot location. Results: The proposed method led to a productivity rise of 14.9% along with a significant decrease of the ‘difficulty’ index, by 31%. Conclusions: The results prove that a prominent performance improvement can be achieved when both travel distance and manual workload minimization are targeted for determining the picking area layout and storage design.","PeriodicalId":56264,"journal":{"name":"Logistics-Basel","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47906752","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}
Pub Date : 2022-12-03DOI: 10.3390/logistics6040082
Doaa Naeem, A. Eltawil, J. Iijima, M. Gheith
Background: The key performance index for the container terminals is the vessel berthing time which is highly affected by the scheduling of the different handling equipment. Proper integrated scheduling of the handling equipment is crucial, especially in automated container terminals, where all the handling equipment is automated and must be coordinated to avoid interference. One of the most challenging problems both scholars and terminal operators face is introducing a proper scheduling plan for different equipment, considering the buffer capacity of dual-trolley quay cranes (QCs) and the limited storage locations of import containers. Methods: A mathematical model is proposed to integrate the scheduling of automated yard cranes and automated guided vehicles (AGVs), considering the limited buffer capacity beneath dual-trolley QCs and the storage allocation of import containers. Results: different instances were solved to evaluate the proposed model’s performance and investigate the impact of using dual-trolley QCs instead of single-trolley QCs, and the impact of using different buffer capacities. Conclusions: The results show that the model provides detailed scheduling and assigning plans for the YCs and AGVs besides allocating import containers. Additionally, the dual-trolley QCs can significantly decrease the completion time and increase AGVs’ utilization compared to the single-trolley QCs.
{"title":"Integrated Scheduling of Automated Yard Cranes and Automated Guided Vehicles with Limited Buffer Capacity of Dual-Trolley Quay Cranes in Automated Container Terminals","authors":"Doaa Naeem, A. Eltawil, J. Iijima, M. Gheith","doi":"10.3390/logistics6040082","DOIUrl":"https://doi.org/10.3390/logistics6040082","url":null,"abstract":"Background: The key performance index for the container terminals is the vessel berthing time which is highly affected by the scheduling of the different handling equipment. Proper integrated scheduling of the handling equipment is crucial, especially in automated container terminals, where all the handling equipment is automated and must be coordinated to avoid interference. One of the most challenging problems both scholars and terminal operators face is introducing a proper scheduling plan for different equipment, considering the buffer capacity of dual-trolley quay cranes (QCs) and the limited storage locations of import containers. Methods: A mathematical model is proposed to integrate the scheduling of automated yard cranes and automated guided vehicles (AGVs), considering the limited buffer capacity beneath dual-trolley QCs and the storage allocation of import containers. Results: different instances were solved to evaluate the proposed model’s performance and investigate the impact of using dual-trolley QCs instead of single-trolley QCs, and the impact of using different buffer capacities. Conclusions: The results show that the model provides detailed scheduling and assigning plans for the YCs and AGVs besides allocating import containers. Additionally, the dual-trolley QCs can significantly decrease the completion time and increase AGVs’ utilization compared to the single-trolley QCs.","PeriodicalId":56264,"journal":{"name":"Logistics-Basel","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2022-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48289469","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}
Pub Date : 2022-11-30DOI: 10.3390/logistics6040081
Abirami Raja Santhi, Padmakumar Muthuswamy
Background: The supply chain ecosystem is becoming fragile and difficult to manage due to the complexities in its interlinked functions such as planning, procurement, production, logistics, distribution, and sales. Recently, organizations have started embarking on “Industry 4.0 technologies”, a name used to denote transformative modern-day technologies such as Artificial Intelligence, Machine Learning, automation and robotics, Internet of Things, Big Data Analytics, Blockchain, and so on to make faster decisions, optimize current practices, provide end-to-end transparency, increased collaboration, and superior warehouse management, which can collectively make it an “Intelligent supply chain”. However, a comprehensive understanding of the subject is required to understand the benefits and challenges of adopting them. Methods: Hence, the article aims to systematically review the literature to identify various challenges associated with supply chain management and provide an overview of the role of Industry 4.0 technologies in addressing them. In addition to traditional complexities, the uncertainties arising from contemporary challenges such as the COVID-19 pandemic, war, natural calamities, and difficulties businesses face in developing and adopting sustainable business practices. Results and Conclusions: The study shows that although it is hard to predict the level of disruptions during any global events, it is possible to be prepared through Industry 4.0 technologies that can give agility, transparency, and resilience to the supply chain.
{"title":"Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges","authors":"Abirami Raja Santhi, Padmakumar Muthuswamy","doi":"10.3390/logistics6040081","DOIUrl":"https://doi.org/10.3390/logistics6040081","url":null,"abstract":"Background: The supply chain ecosystem is becoming fragile and difficult to manage due to the complexities in its interlinked functions such as planning, procurement, production, logistics, distribution, and sales. Recently, organizations have started embarking on “Industry 4.0 technologies”, a name used to denote transformative modern-day technologies such as Artificial Intelligence, Machine Learning, automation and robotics, Internet of Things, Big Data Analytics, Blockchain, and so on to make faster decisions, optimize current practices, provide end-to-end transparency, increased collaboration, and superior warehouse management, which can collectively make it an “Intelligent supply chain”. However, a comprehensive understanding of the subject is required to understand the benefits and challenges of adopting them. Methods: Hence, the article aims to systematically review the literature to identify various challenges associated with supply chain management and provide an overview of the role of Industry 4.0 technologies in addressing them. In addition to traditional complexities, the uncertainties arising from contemporary challenges such as the COVID-19 pandemic, war, natural calamities, and difficulties businesses face in developing and adopting sustainable business practices. Results and Conclusions: The study shows that although it is hard to predict the level of disruptions during any global events, it is possible to be prepared through Industry 4.0 technologies that can give agility, transparency, and resilience to the supply chain.","PeriodicalId":56264,"journal":{"name":"Logistics-Basel","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44617516","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}
Pub Date : 2022-11-18DOI: 10.3390/logistics6040080
Adebayo Adeleke
Background: Centuries after its introduction in Africa, the western-style logistics system has not replicated the same results as it has in other parts of the world. The continent continues to grapple with poor logistics infrastructure and low intra-Africa trade at a time when governments in Africa are committed towards the expansion of trade and manufacturing through the implementation of the African Continental Free Trade Area (AfCFTA) agreement. There is a pressing need, therefore, for the development of a logistics system designed for the African socioeconomic environment and the peculiarities of the people. Methods: This paper examines the operations of the Indigenous Logistics Systems (ILS) in pre-colonial Nigeria and its development over time through qualitative data gathered from the six geopolitical zones in Nigeria and a review of literature. Results: ILS in Nigeria is the cultural creation of the people through the efficient management of available resources and the use of indigenous knowledge. The system derives its strengths and effectiveness from its availability, simplicity, affordability, and trust. Conclusions: The paper concludes that if improved with the application of simple technology, ILS has the answers to the challenges of logistics and Supply Chain Management (SCM) in Africa.
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