Supply Chain Analytics最新文献_第5页

An integrated pythagorean fuzzy delphi-AHP-CoCoSo approach for exploring barriers and mitigation strategies for sustainable supply chain in the food industry 探索食品行业可持续供应链障碍和缓解战略的综合 pythagorean 模糊德尔菲-AHP-CoCoSo 方法

Supply Chain Analytics Pub Date : 2025-02-22 DOI: 10.1016/j.sca.2025.100105

Neha Gupta , Pratibha Garg , Nidhi Ahuja

{"title":"An integrated pythagorean fuzzy delphi-AHP-CoCoSo approach for exploring barriers and mitigation strategies for sustainable supply chain in the food industry","authors":"Neha Gupta , Pratibha Garg , Nidhi Ahuja","doi":"10.1016/j.sca.2025.100105","DOIUrl":"10.1016/j.sca.2025.100105","url":null,"abstract":"<div><div>This study analyses the barriers hindering the implementation of sustainable supply chain practices within the food industry while proposing effective mitigation strategies. Employing an extensive literature review as a foundation, the study utilizes the Pythagorean fuzzy Delphi approach to identify and finalize key barriers and strategies. The identified barriers are categorized into six main groups: technological, economic, regulatory, environmental, organizational, and market barriers. The study employs the Pythagorean fuzzy Analytic Hierarchy Process (AHP) technique to prioritize these barriers, assigning priority weights to each barrier. Subsequently, eight mitigation strategies are identified and ranked based on these priority weights using the Pythagorean fuzzy Combined Compromise Solution (CoCoSo) technique. The study reveals that a lack of professional expertise is the most significant barrier to implementing sustainability practices in the food supply chain. Sustainable technology development is recommended as the top mitigation strategy, followed by others. This research contributes valuable insights into the food industry’s challenges in adopting sustainable supply chain practices. It provides a roadmap for effective mitigation strategies to foster environmental responsibility and resilience within the sector.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"10 ","pages":"Article 100105"},"PeriodicalIF":0.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A multi-echelon closed-loop supply chain model with multi-recovery systems and carbon regulation 具有多回收系统和碳调控的多级闭环供应链模型

Supply Chain Analytics Pub Date : 2025-02-22 DOI: 10.1016/j.sca.2025.100109

Dimas Nurbani Harefah , Wakhid Ahmad Jauhari , Cucuk Nur Rosyidi , Dana Marsetiya Utama

{"title":"A multi-echelon closed-loop supply chain model with multi-recovery systems and carbon regulation","authors":"Dimas Nurbani Harefah , Wakhid Ahmad Jauhari , Cucuk Nur Rosyidi , Dana Marsetiya Utama","doi":"10.1016/j.sca.2025.100109","DOIUrl":"10.1016/j.sca.2025.100109","url":null,"abstract":"<div><div>This study develops a multi-echelon closed-loop supply chain (CLSC) optimization model for durable products by considering refurbishment, recycling processes, and carbon regulation. A mixed integer linear programming (MILP) is developed for CLSC network design involving suppliers, manufacturers, refurbishment centers, recycling centers, disposal centers, assembly centers, collection centers, and retailers. A carbon cap-and-trade policy is adopted to lessen the emissions emitted from some activities in CLSC. The objectives of the study are to determine the optimal allocations of echelons and to investigate the influences of collection rate, refurbishment rate, recycling rate and carbon policy on CLSC. A numerical example is presented to illustrate the application of the proposed model, and a sensitivity analysis is provided to investigate the effect of key parameters on the model’s behavior and system performance. The results show that the changes in collection, refurbishment, and recycling rates significantly influence the optimal allocation decisions. The results also show that by adopting a carbon cap-and-trade policy, CLSC can benefit both economically and environmentally. However, the level of benefits obtained will depend significantly on the size of the carbon cap and the selling or buying price of carbon in the market.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"10 ","pages":"Article 100109"},"PeriodicalIF":0.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A DEMATEL approach for analysing the interdependence among the efficiency barriers in the agri-fresh produce supply chains 用DEMATEL方法分析农业生鲜产品供应链中效率壁垒之间的相互依赖性

Supply Chain Analytics Pub Date : 2025-02-19 DOI: 10.1016/j.sca.2025.100106

Reji John, Ashish Kumar Singh

{"title":"A DEMATEL approach for analysing the interdependence among the efficiency barriers in the agri-fresh produce supply chains","authors":"Reji John, Ashish Kumar Singh","doi":"10.1016/j.sca.2025.100106","DOIUrl":"10.1016/j.sca.2025.100106","url":null,"abstract":"<div><div>Managing the efficiency of an agri-fresh produce supply chain is challenging and intricate due to the numerous barriers affecting it locally and globally. This study aims to enumerate the potential barriers to efficiency in the agri-fresh produce supply chains, especially when managing fruits and vegetables. We also focus on the interdependence among these barriers. We follow an in-depth literature review and identify barriers with the help of experts. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach establishes the interdependence among the identified barriers. The study reveals that numerous scattered farmers with small land areas and unorganized intermediaries, followed by barriers related to fresh food safety and quality, act as the most influential barriers, and barriers related to value addition and food processing are the least significant. Out of 13 finalized barriers, eight are cause and five are effect barriers. The study’s results provide immense insight into all Agri-fresh produce supply chain network parties, enabling them to optimize their activities and reduce food waste. Policymakers can use this information to create supportive policies that address multiple barriers simultaneously, leading to more effective and comprehensive solutions. The lack of studies on the interdependence of barriers causing inefficiency in the agri-fresh produce supply chain makes the work original and unique. The authors considered the response of farmers, fruit and vegetable retailers, wholesalers, and mediators for the development of the initial mutual influence matrix.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"10 ","pages":"Article 100106"},"PeriodicalIF":0.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A game theoretic model for dual supply chains with green and non-green products and bi-directional free-riding and carbon policy 具有绿色和非绿色产品以及双向搭便车和碳政策的双供应链博弈论模型

Supply Chain Analytics Pub Date : 2025-02-07 DOI: 10.1016/j.sca.2025.100103

Sanchari Ganguly , Pritha Das , Manoranjan Maiti

{"title":"A game theoretic model for dual supply chains with green and non-green products and bi-directional free-riding and carbon policy","authors":"Sanchari Ganguly , Pritha Das , Manoranjan Maiti","doi":"10.1016/j.sca.2025.100103","DOIUrl":"10.1016/j.sca.2025.100103","url":null,"abstract":"<div><div>Cap-and-trade regulation is a strategy to reduce carbon emissions (CEs). During production, CEs are reduced by green technology. In a dual-channel supply chain (DCSC), customers try a product at an offline store but purchase it online (showrooming effect). Additionally, using internet information services, some customers purchase offline (ropo effect). Due to demand uncertainty, neutrosophic fuzzy sets are used to appropriately express a parameter’s impreciseness. We develop a game-theoretic model where a manufacturer produces non-green and green products using carbon reduction technology, sells the products through a traditional retailer (offline), and owns an online channel for imprecise market demands. Customers free-ride from both the channels. The CE from transportation and the non-green products are considered. For carbon costs, a cap and trade policy is adopted. The neutrosophic fuzzy variables indicate the impreciseness of the demand, bidirectional free-riding, and product greenness. These variables determine channel members’ truth, indeterminacy, and falsity degrees. Different models with some prices (inconsistent and consistent) and service efforts as decision variables are analyzed using the Stackelberg game approach. After the derivation of the corresponding equilibrium equations, numerical experiments are presented to verify the validity of our conclusions. The findings show that although free-riding is detrimental to the retailer, it becomes advantageous if its direction is altered. The profit of the retailer with consistent prices is higher than the inconsistent one. Opposite outcomes are observed for the manufacturer. The channel members’ profits are more under the neutrosophic fuzzy environment than deterministic/fuzzy. Some managerial insights and conclusions are presented.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"9 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A robotic process automation model for order-handling optimization in supply chain management 供应链管理中订单处理优化的机器人过程自动化模型

Supply Chain Analytics Pub Date : 2025-01-17 DOI: 10.1016/j.sca.2025.100102

Ahm Shamsuzzoha , Sini Pelkonen

引用次数: 0

An investigation of foreign affiliates and supply chain productivity in the European Union industrial sectors 对欧盟工业部门的外国子公司和供应链生产率的调查

Supply Chain Analytics Pub Date : 2025-01-14 DOI: 10.1016/j.sca.2025.100101

Antonio Frenda , Abdoulaye Kané

引用次数: 0

A Bayesian best-worst approach with blockchain integration for optimizing supply chain efficiency through supplier selection 基于区块链集成的供应链效率优化贝叶斯最佳-最差方法

Supply Chain Analytics Pub Date : 2025-01-02 DOI: 10.1016/j.sca.2024.100100

Azam Modares , Vahideh Bafandegan Emroozi , Pardis Roozkhosh , Azade Modares

{"title":"A Bayesian best-worst approach with blockchain integration for optimizing supply chain efficiency through supplier selection","authors":"Azam Modares , Vahideh Bafandegan Emroozi , Pardis Roozkhosh , Azade Modares","doi":"10.1016/j.sca.2024.100100","DOIUrl":"10.1016/j.sca.2024.100100","url":null,"abstract":"<div><div>Supplier selection is a complex Multi-Criteria Decision-Making (MCDM) problem where decision-maker (DM) preferences heavily influence decision criteria and outcomes. Suitable suppliers capable of meeting performance criteria are central to successful Blockchain Technology (BT) implementation. Numerous qualitative factors influence blockchain adoption within organizations, particularly in the communication between retailers and suppliers via Blockchain, where qualitative uncertainties abound. This study aims to develop a robust system within a probabilistic and fuzzy framework to integrate DMs’ judgments amidst uncertainty effectively. Leveraging the Bayesian best-worst method (BWM), optimal weights for evaluating supplier criteria are determined. This method employs Markov-chain Monte Carlo (MCMC) to calculate the probability of preferring one criterion over another, facilitating confidence level elucidation between criterion pairs and enhancing criteria rankings. Supplier ranking is performed using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The efficacy of the proposed approach is demonstrated through a case study utilizing real data from the railway supply chain. Results indicate the model’s effectiveness in optimizing supplier selection and enhancing supply chain performance.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"9 ","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A data-driven machine learning model for forecasting delivery positions in logistics for workforce planning 一个数据驱动的机器学习模型，用于预测物流中的交付位置，用于劳动力规划

Supply Chain Analytics Pub Date : 2024-12-28 DOI: 10.1016/j.sca.2024.100099

Patrick Eichenseer , Lukas Hans , Herwig Winkler

{"title":"A data-driven machine learning model for forecasting delivery positions in logistics for workforce planning","authors":"Patrick Eichenseer , Lukas Hans , Herwig Winkler","doi":"10.1016/j.sca.2024.100099","DOIUrl":"10.1016/j.sca.2024.100099","url":null,"abstract":"<div><div>Workforce planning in logistics is a major challenge due to increasing demands and a dynamic environment. The number of delivery positions is a key factor in determining staffing requirements. This is often predicted subjectively based on employee assessments. To improve decision making and increase both the efficiency of this important forecasting process and the use of resources in the production system, i.e. shopfloor logistics, a data-driven machine learning model with a forecasting horizon of 5 working days was developed and validated in a practical case study in a company. The results show that the novel and specifically developed model outperforms both the manual forecasting approach in practice and auto machine learning models in terms of accuracy. The outperformance is particularly strong in the short term. Based on the predicted delivery positions, an optimised workforce planning was subsequently carried out in the case study company. Limitations of the model include the fact that it was validated in only one company and that the number of picks may need to be derived for more accurate scheduling. These two aspects also represent potential for future research.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"9 ","pages":"Article 100099"},"PeriodicalIF":0.0,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A resilient poultry vaccine supply chain network design considering perishability and stress test 考虑易腐性和压力测试的弹性家禽疫苗供应链网络设计

Supply Chain Analytics Pub Date : 2024-12-27 DOI: 10.1016/j.sca.2024.100098

Mina Mehravaran, Arash Nemati

{"title":"A resilient poultry vaccine supply chain network design considering perishability and stress test","authors":"Mina Mehravaran, Arash Nemati","doi":"10.1016/j.sca.2024.100098","DOIUrl":"10.1016/j.sca.2024.100098","url":null,"abstract":"<div><div>Vaccines and seeds are the most significant resources in the poultry industry, particularly for chicken as a global staple. However, designing a resilient network for the poultry vaccine supply chain to create a viable poultry industry has been neglected. Hence, this paper contributes to the poultry vaccine supply chain network design and planning problem by proposing a multi-period mixed-integer linear mathematical model. This model formulizes several resiliency strategies, including considering surplus vaccine production capacity, inventory holding in the customers and manufacturers, simultaneous utilization of both offshore suppliers and domestic manufacturers, and the necessity for fulfilling a proportion of periodic demand using warehoused vaccines. In addition, time-based prices and limited holding periods of poultry vaccines are considered in the model formulation to consider vaccine perishability. The newly developed model minimizes the poultry vaccine supply chain’s total costs, including vaccine purchasing, transportation, warehousing, manufacturer establishment, and opportunity cost, to make decisions on poultry vaccine manufacturer location-allocation, offshore supplier selection, customer order allocation, depot selection, and production capacity allocation. This model is solved in a case study of the chicken industry from Iran using CPLEX solver to design a new supply chain network for Newcastle, Gumboro, and Bronchitis vaccines from 2025 to 2030. Results showed that 6, 7, and 7 locations of 8 candidates have opted for Newcastle, Gumboro, and Bronchitis vaccine production lines establishment, respectively, and two offshore suppliers are selected between 4 potential ones. In addition, the results of stress tests verified the effectiveness of employed resiliency strategies, and sensitivity analysis showed the significant impact of demand variability on establishment and purchasing costs.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"9 ","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Integrated Multi-Product Biodiesel and Bioethanol Supply Chain Model with Torrefaction Under Uncertainty 不确定条件下多产品生物柴油和生物乙醇集成供应链模型

Supply Chain Analytics Pub Date : 2024-11-28 DOI: 10.1016/j.sca.2024.100092

Farima Salamian , Masoud Rabbani , Amirmohammad Paksaz

{"title":"An Integrated Multi-Product Biodiesel and Bioethanol Supply Chain Model with Torrefaction Under Uncertainty","authors":"Farima Salamian , Masoud Rabbani , Amirmohammad Paksaz","doi":"10.1016/j.sca.2024.100092","DOIUrl":"10.1016/j.sca.2024.100092","url":null,"abstract":"<div><div>This study presents an integrated supply chain network model for biodiesel and bioethanol production, incorporating torrefaction under uncertain conditions related to the establishment of new facilities. The proposed mixed-integer linear programming model aims to minimize the total cost of the supply chain while maximizing social objectives such as reducing unemployment. To solve the bi-objective model, a three-stage approach is employed: first, uncertain parameters are defuzzified; second, the augmented epsilon-constraint method is applied to generate a set of efficient Pareto-optimal solutions; and third, robust optimization is used to handle real-world uncertainties, such as disruptions caused by natural disasters and sanctions, ensuring feasibility under different scenarios. The study considers various stages of the supply chain, from feedstock cultivation to processing, transportation, and distribution. A real-life case study in Iran is used to evaluate the effectiveness of the proposed model, highlighting that biodiesel and bioethanol supply chains are interrelated, particularly at the cultivation stage, where each crop impacts the other. In this regard, Kermanshah, Isfahan, Chahar Mahal & Bakhtiari, Khorasan North, Kohgiluyeh & Boyer-Ahmad, and Lorestan are identified as the most suitable provinces for second-generation plant cultivation. Additionally, Azerbaijan East is identified as the best location for a bioethanol refinery, while Tehran and Markazi are the optimal choices for biodiesel refineries. This integrated approach offers a novel solution that prevents impractical overlaps in land use, providing a comprehensive, sustainable, and socially beneficial framework for bioenergy supply chain management.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"9 ","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0