Service-oriented manufacturing (SOM) is a new paradigm that merges manufacturing and service, leading to supply chain diversification (SCD) with components such as supplier, customer, and product d...
{"title":"The promotion of digital transformation for supply chain diversification in service-oriented manufacturing paradigm","authors":"Ying Xu, Liukai Wang, Weiqing Wang, Haojia Chen, Xiangrui Meng","doi":"10.1080/13675567.2023.2297695","DOIUrl":"https://doi.org/10.1080/13675567.2023.2297695","url":null,"abstract":"Service-oriented manufacturing (SOM) is a new paradigm that merges manufacturing and service, leading to supply chain diversification (SCD) with components such as supplier, customer, and product d...","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"50 12 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139396786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-07DOI: 10.1080/13675567.2023.2289463
Yan Li, Yun Lin, Ming K. Lim, Weiqing Xiong, Xingjun Huang, Yuhe Shi, Jun Su
To ensure the safety of fresh food, the cold chain logistics is widely utilised, which can provide a low temperature environment. However, due to the high energy consumption, how to reduce carbon e...
{"title":"An intelligent distribution system for green logistics operations in the blockchain environment","authors":"Yan Li, Yun Lin, Ming K. Lim, Weiqing Xiong, Xingjun Huang, Yuhe Shi, Jun Su","doi":"10.1080/13675567.2023.2289463","DOIUrl":"https://doi.org/10.1080/13675567.2023.2289463","url":null,"abstract":"To ensure the safety of fresh food, the cold chain logistics is widely utilised, which can provide a low temperature environment. However, due to the high energy consumption, how to reduce carbon e...","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"16 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138563541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-27DOI: 10.1080/13675567.2023.2286352
Hau-Ling Chan, Tsan-Ming Choi
In this discussion paper, we aim to examine the key issues of logistics management in the Industry 4.0 era by addressing various major challenges. To be specific, we first establish an amended defi...
{"title":"Logistics management for the future: the IJLRA framework","authors":"Hau-Ling Chan, Tsan-Ming Choi","doi":"10.1080/13675567.2023.2286352","DOIUrl":"https://doi.org/10.1080/13675567.2023.2286352","url":null,"abstract":"In this discussion paper, we aim to examine the key issues of logistics management in the Industry 4.0 era by addressing various major challenges. To be specific, we first establish an amended defi...","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"31 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138513602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-22DOI: 10.1080/13675567.2023.2286006
Daniel Ruben Pinchasik, Inger Beate Hovi, Bo Dong
This study assesses the effects of using parcel lockers as an alternative to home deliveries, combined with different locker network expansions. We use empirical shipment data and real-world routin...
{"title":"Replacing home deliveries by deliveries to parcel lockers: cost, traffic, emissions, and societal cost effects of locker network expansions in greater Oslo","authors":"Daniel Ruben Pinchasik, Inger Beate Hovi, Bo Dong","doi":"10.1080/13675567.2023.2286006","DOIUrl":"https://doi.org/10.1080/13675567.2023.2286006","url":null,"abstract":"This study assesses the effects of using parcel lockers as an alternative to home deliveries, combined with different locker network expansions. We use empirical shipment data and real-world routin...","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"57 1-2","pages":""},"PeriodicalIF":6.6,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138513601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Last mile delivery is a significant component in the growth of e-commerce, especially in urban areas. The deliveries in dense cities cause several serious issues such as air/noise pollution and con...
{"title":"Estimating costs and CO2 emissions for last mile delivery of groceries in Paris using alternative modes and routing strategies","authors":"Quoc-Thông Nguyen, Jérémy Patrix, Ouail Oulmakki, Diana G. Ramirez-Rios, Jérôme Verny","doi":"10.1080/13675567.2023.2283074","DOIUrl":"https://doi.org/10.1080/13675567.2023.2283074","url":null,"abstract":"Last mile delivery is a significant component in the growth of e-commerce, especially in urban areas. The deliveries in dense cities cause several serious issues such as air/noise pollution and con...","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"30 3","pages":""},"PeriodicalIF":6.6,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138513603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-08DOI: 10.1080/13675567.2023.2280094
Muhammad Azmat, Raheel Siddiqui
Inaccurate forecasts can cause severe financial consequences and disrupt supply chain operations for organisations. This study focuses on the pharmaceutical industry, renowned for its complex supply chain and diverse data attributes. It proposes a novel approach to identify the optimal combination of demand forecasting models that enhance accuracy by leveraging deterministic factors using Mode and PERT. By refining model selection in the pharmaceutical industry, this research aims to improve both forecasting precision and supply chain efficiency. A four-level framework based on deterministic factors is proposed to evaluate the extent of hybrid modelling in demand forecasting, empowering practitioners to make informed decisions even in challenging circumstances. The findings offer decision-makers flexibility in selecting suitable forecasting models and assist in tailoring methods to specific conditions. Furthermore, this research highlights the industry's ability to leverage digital technologies and transform existing forecasting methodologies, ensuring uninterrupted business operations during disruptions such as the COVID-19 pandemic.
{"title":"Enhancing supply chain efficiency: a holistic examination of hybrid forecasting models employing mode and PERT technique as deterministic factors","authors":"Muhammad Azmat, Raheel Siddiqui","doi":"10.1080/13675567.2023.2280094","DOIUrl":"https://doi.org/10.1080/13675567.2023.2280094","url":null,"abstract":"Inaccurate forecasts can cause severe financial consequences and disrupt supply chain operations for organisations. This study focuses on the pharmaceutical industry, renowned for its complex supply chain and diverse data attributes. It proposes a novel approach to identify the optimal combination of demand forecasting models that enhance accuracy by leveraging deterministic factors using Mode and PERT. By refining model selection in the pharmaceutical industry, this research aims to improve both forecasting precision and supply chain efficiency. A four-level framework based on deterministic factors is proposed to evaluate the extent of hybrid modelling in demand forecasting, empowering practitioners to make informed decisions even in challenging circumstances. The findings offer decision-makers flexibility in selecting suitable forecasting models and assist in tailoring methods to specific conditions. Furthermore, this research highlights the industry's ability to leverage digital technologies and transform existing forecasting methodologies, ensuring uninterrupted business operations during disruptions such as the COVID-19 pandemic.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"5 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135390742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-03DOI: 10.1080/13675567.2023.2278479
Fei Deng, Yixuan Wei, Yiqiao Liu, Botao Yan, Jinshun Wu, Ying Cui, Song Pan
The trade-off between the timely delivery of emergency supplies and the long distribution path distance can be described as a generalised multiple travelling salesman problem. To solve this problem, the IDGWOA was proposed to minimise the longest distribution path. Taking the data of several lockdown zones in Pudong, Shanghai, as an example, 10 optimal material distribution routes were obtained by simulation. The results showed that the average distribution route distance was about 22.5 km and the longest distribution distance was 26.40 km. The results verified the effectiveness of the proposed algorithm, realising a reasonable guarantee of supply distribution. Finally, four standard travelling salesman problem datasets were used and the results were compared with five other intelligent optimisation algorithms. The results showed that the relative error value index of the improved algorithm was the smallest for the same dataset, indicating that the algorithm achieves the highest accuracy.
{"title":"Distribution route optimisation of emergency supplies based on improved grey wolf optimisation algorithm","authors":"Fei Deng, Yixuan Wei, Yiqiao Liu, Botao Yan, Jinshun Wu, Ying Cui, Song Pan","doi":"10.1080/13675567.2023.2278479","DOIUrl":"https://doi.org/10.1080/13675567.2023.2278479","url":null,"abstract":"The trade-off between the timely delivery of emergency supplies and the long distribution path distance can be described as a generalised multiple travelling salesman problem. To solve this problem, the IDGWOA was proposed to minimise the longest distribution path. Taking the data of several lockdown zones in Pudong, Shanghai, as an example, 10 optimal material distribution routes were obtained by simulation. The results showed that the average distribution route distance was about 22.5 km and the longest distribution distance was 26.40 km. The results verified the effectiveness of the proposed algorithm, realising a reasonable guarantee of supply distribution. Finally, four standard travelling salesman problem datasets were used and the results were compared with five other intelligent optimisation algorithms. The results showed that the relative error value index of the improved algorithm was the smallest for the same dataset, indicating that the algorithm achieves the highest accuracy.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"40 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135818718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-21DOI: 10.1080/13675567.2023.2272830
Jiani Fan, Lingyan He
ABSTRACTIn the era of Industry 4.0, digital transformation has become a key driver of corporate development. Despite its profound significance, there is a dearth of research examining its underlying influencing mechanisms. To fill this gap, this study investigates the impact of firms’ digital transformation on firm performance and explores the moderating role of supply chain concentration using a sample of Chinese listed firms from 2011 to 2021. Drawing on transaction cost and knowledge-based theories, digital technologies boost efficiency and flexibility, reduce transaction costs, and enable the leveraging of a diverse resource pool, which ultimately leads to improved performance among supply chain participants. The results indicate a positive contribution of digital transformation to firm performance in China. Notably, the relationship is moderated by supply chain concentration, with digital transformation exerting a more significant effect on firm performance in companies with low customer concentration and high supplier concentration.KEYWORDS: Digital transformationsupply chain concentrationcustomer concentrationsupplier concentrationmoderating effects Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are openly available in China’s Stock Market and Accounting Research (CSMAR) database at https://www.gtarsc.com.Additional informationFundingThis paper was supported by the Research Project of Zhejiang Federation of Humanities and Social Sciences Circles [grant number 2024B049]. All errors remain the responsibility of the authors.
{"title":"The impacts of digital transformation on firm performance in China: the moderating role of supply chain concentration","authors":"Jiani Fan, Lingyan He","doi":"10.1080/13675567.2023.2272830","DOIUrl":"https://doi.org/10.1080/13675567.2023.2272830","url":null,"abstract":"ABSTRACTIn the era of Industry 4.0, digital transformation has become a key driver of corporate development. Despite its profound significance, there is a dearth of research examining its underlying influencing mechanisms. To fill this gap, this study investigates the impact of firms’ digital transformation on firm performance and explores the moderating role of supply chain concentration using a sample of Chinese listed firms from 2011 to 2021. Drawing on transaction cost and knowledge-based theories, digital technologies boost efficiency and flexibility, reduce transaction costs, and enable the leveraging of a diverse resource pool, which ultimately leads to improved performance among supply chain participants. The results indicate a positive contribution of digital transformation to firm performance in China. Notably, the relationship is moderated by supply chain concentration, with digital transformation exerting a more significant effect on firm performance in companies with low customer concentration and high supplier concentration.KEYWORDS: Digital transformationsupply chain concentrationcustomer concentrationsupplier concentrationmoderating effects Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are openly available in China’s Stock Market and Accounting Research (CSMAR) database at https://www.gtarsc.com.Additional informationFundingThis paper was supported by the Research Project of Zhejiang Federation of Humanities and Social Sciences Circles [grant number 2024B049]. All errors remain the responsibility of the authors.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"61 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135511199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-19DOI: 10.1080/13675567.2023.2269101
Shan Qiao, Mingke He, Jing Wang, Jianping Cai, Jie Zheng
ABSTRACTThe COVID-19 outbreak has posed serious challenges to logistics and supply chain management. This study examines how living materials can be provided to a population under quarantine control due to the spread of infectious diseases. First, we present a modified SEIR model for predicting the number of people and materials demanded. Considering the dynamic evolution and other characteristics of infectious diseases, and the resulting demand uncertainty, we develop a robust optimization model for a multi-period dynamic emergency materials supply chain network with the objective of minimising total cost. We then transform it into a solvable robust counterpart model, propose a dynamic adjustment strategy, and cope with it using the Rolling Horizon approach to obtain dynamic location and materials distribution decisions. Finally, we conduct a case study of the Shanghai epidemic in 2022 to verify the feasibility and effectiveness of our model and method.KEYWORDS: Major infectious disease epidemicsmodified SEIR modelemergency materials supply chain networkrobust optimizationuncertain budget adjustmentrolling horizon approach Data availability statementThe data of this study are available upon request from the corresponding author.Disclosure statementNo potential conflict of interest was reported by the author(s).Ethics approvalThis article does not contain any studies with human participants or animals performed by any of the authors.Additional informationFundingThis work was supported by Key program of The National Social Science Fund of China [grant number 20AJY016].
{"title":"Robust optimization for a dynamic emergency materials supply chain network under major infectious disease epidemics","authors":"Shan Qiao, Mingke He, Jing Wang, Jianping Cai, Jie Zheng","doi":"10.1080/13675567.2023.2269101","DOIUrl":"https://doi.org/10.1080/13675567.2023.2269101","url":null,"abstract":"ABSTRACTThe COVID-19 outbreak has posed serious challenges to logistics and supply chain management. This study examines how living materials can be provided to a population under quarantine control due to the spread of infectious diseases. First, we present a modified SEIR model for predicting the number of people and materials demanded. Considering the dynamic evolution and other characteristics of infectious diseases, and the resulting demand uncertainty, we develop a robust optimization model for a multi-period dynamic emergency materials supply chain network with the objective of minimising total cost. We then transform it into a solvable robust counterpart model, propose a dynamic adjustment strategy, and cope with it using the Rolling Horizon approach to obtain dynamic location and materials distribution decisions. Finally, we conduct a case study of the Shanghai epidemic in 2022 to verify the feasibility and effectiveness of our model and method.KEYWORDS: Major infectious disease epidemicsmodified SEIR modelemergency materials supply chain networkrobust optimizationuncertain budget adjustmentrolling horizon approach Data availability statementThe data of this study are available upon request from the corresponding author.Disclosure statementNo potential conflict of interest was reported by the author(s).Ethics approvalThis article does not contain any studies with human participants or animals performed by any of the authors.Additional informationFundingThis work was supported by Key program of The National Social Science Fund of China [grant number 20AJY016].","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-06DOI: 10.1080/13675567.2023.2262396
Xiaoran Shi, Weihua Liu, Ming K. Lim
ABSTRACTConsidering the tighter collaboration, increased complexity and ever-wider geographic dispersion in the global supply chain, supply chain uncertainties and risks remain a key managerial challenge to build a resilient supply chain. From this perspective, in this study, a structured literature review on extant studies related to supply chain resilience in the past decade is conducted. Given a general descriptive analysis and an in-depth content analysis in terms of problem-oriented and methodology-driven dimensions, the research progress for building resilient supply chains is depicted. Then, following a ‘why-what-how’ logic, revisiting of the Triple-A (alignment, agility and adaptiveness), Triple-P (product complexity, process complexity and partnership complexity) and Triple-R (readiness, responsiveness and restoration) frameworks are conducted to sort out the challenges and research gaps for the development of supply chain resilience across the globe. Finally, a generalised framework is proposed and research opportunities for future development are discussed.KEYWORDS: Supply chain resilienceSLRTriple-A frameworkTriple-P frameworkTriple-R framework AcknowledgementsThe authors sincerely thank the editor and the anonymous reviewers for their constructive and important comments on the paper. This paper is supported by Major Program of the National Social Science Foundation of China (grant number 22&ZD139)Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Dimensions include (1) narrative literature review (NLR), systematic literature review (SLR), model/conceptual framework (CM/CF) and theoretical contribution (TC).Additional informationFundingThis work was supported by Major Program of the National Social Science Foundation of China: [Grant Number 22&ZD139].
{"title":"Supply chain resilience: new challenges and opportunities","authors":"Xiaoran Shi, Weihua Liu, Ming K. Lim","doi":"10.1080/13675567.2023.2262396","DOIUrl":"https://doi.org/10.1080/13675567.2023.2262396","url":null,"abstract":"ABSTRACTConsidering the tighter collaboration, increased complexity and ever-wider geographic dispersion in the global supply chain, supply chain uncertainties and risks remain a key managerial challenge to build a resilient supply chain. From this perspective, in this study, a structured literature review on extant studies related to supply chain resilience in the past decade is conducted. Given a general descriptive analysis and an in-depth content analysis in terms of problem-oriented and methodology-driven dimensions, the research progress for building resilient supply chains is depicted. Then, following a ‘why-what-how’ logic, revisiting of the Triple-A (alignment, agility and adaptiveness), Triple-P (product complexity, process complexity and partnership complexity) and Triple-R (readiness, responsiveness and restoration) frameworks are conducted to sort out the challenges and research gaps for the development of supply chain resilience across the globe. Finally, a generalised framework is proposed and research opportunities for future development are discussed.KEYWORDS: Supply chain resilienceSLRTriple-A frameworkTriple-P frameworkTriple-R framework AcknowledgementsThe authors sincerely thank the editor and the anonymous reviewers for their constructive and important comments on the paper. This paper is supported by Major Program of the National Social Science Foundation of China (grant number 22&ZD139)Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Dimensions include (1) narrative literature review (NLR), systematic literature review (SLR), model/conceptual framework (CM/CF) and theoretical contribution (TC).Additional informationFundingThis work was supported by Major Program of the National Social Science Foundation of China: [Grant Number 22&ZD139].","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135350327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}