Supply Chain Analytics最新文献_第3页

A scoping review of export supply chain efficiency frameworks for perishable horticultural products 易腐园艺产品出口供应链效率框架的范围审查

Supply Chain Analytics Pub Date : 2025-03-13 DOI: 10.1016/j.sca.2025.100112

Sabrina Haque, Delwar Akbar, Susan Kinnear, Azad Rahman

{"title":"A scoping review of export supply chain efficiency frameworks for perishable horticultural products","authors":"Sabrina Haque, Delwar Akbar, Susan Kinnear, Azad Rahman","doi":"10.1016/j.sca.2025.100112","DOIUrl":"10.1016/j.sca.2025.100112","url":null,"abstract":"<div><div>Exporting perishable horticulture products is a complex undertaking which can create inefficiencies within export supply chains (ESCs). It is vital to identify an efficient ESC framework to enhance the competitiveness of horticultural exports. Whilst prior research has focussed on selected efficiency indicators such as logistics or consumer perceptions, a holistic framework specific to horticultural produce is yet to be developed. This study develops such a framework by identifying the key dimensions and indicators of an efficient horticulture ESC using a systems approach. A scoping review was conducted with a total of 62 studies meeting the inclusion criteria. Key efficiency indicators were grouped under seven dimensions of an ESC: economic, time, management, network, innovation, market and eco-efficiency. Careful management of these domains is required to achieve an efficient ESC for perishable horticulture that can deliver on consumer satisfaction and meet sustainability outcomes. We show that management, time, and network efficiencies should be applied at every stage of ESC, whereas other efficiency dimensions are required only at certain stages. This research fills a gap in understanding efficient horticultural ESC frameworks for stakeholders such as researchers, industry bodies, growers, distributors, processors, exporters, retailers and policymakers.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"10 ","pages":"Article 100112"},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643670","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 fuzzy-AHP and fuzzy-DEMATEL approach for analyzing sustainable supply chain factors in the mining industry 基于模糊层次分析法和模糊dematel方法的矿业可持续供应链因素分析

Supply Chain Analytics Pub Date : 2025-03-13 DOI: 10.1016/j.sca.2025.100113

Arpan Paul, Siba Sankar Mahapatra

{"title":"An integrated fuzzy-AHP and fuzzy-DEMATEL approach for analyzing sustainable supply chain factors in the mining industry","authors":"Arpan Paul, Siba Sankar Mahapatra","doi":"10.1016/j.sca.2025.100113","DOIUrl":"10.1016/j.sca.2025.100113","url":null,"abstract":"<div><div>Rapid industrialization necessitates the utmost balance among economic, environmental, and social performance of manufacturing industries for long-term sustainability. The equity among the performance criteria can be maintained through the adoption of sustainability in the industries’ supply chain. As mining industry is viewed as one of the most polluting industries, it becomes apparent to rectify mining activities through the integration of sustainability into its supply chain. However, the sustainability drive must not compromise long-term economic performance. To address this issue, a case-based study is attempted in the present work to identify and analyze the drivers and barriers responsible for implementing sustainability in the supply chain of Indian mining industries. An integrated approach of the fuzzy analytical hierarchy process (F-AHP) and fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) has been proposed to determine the priority and interdependency between the sustainability implementation factors. Also, sensitivity analysis has been carried out to understand the factors significantly influencing system sustainability. The study reveals that “environmental certification and government regulation” and “lack of regulations on sustainability”’ are the most crucial driver and barrier, respectively, to adopt sustainability in the Indian mining industry. The findings help policy planners provide a framework for promoting sustainable practices. Also, the study provides a robust methodology that can be applied to similar industries interested in enhancing sustainability adoption.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"10 ","pages":"Article 100113"},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643669","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-criteria decision-making model for identifying complexity drivers in the oil and gas supply chain 一种集成的多标准决策模型，用于识别油气供应链中的复杂性驱动因素

Supply Chain Analytics Pub Date : 2025-02-27 DOI: 10.1016/j.sca.2025.100104

Sujan Piya , Yahya Al-Hinai , Nasr Al Hinai , Mohammad Khadem , Mohammad Shamsuzzaman

{"title":"An integrated multi-criteria decision-making model for identifying complexity drivers in the oil and gas supply chain","authors":"Sujan Piya , Yahya Al-Hinai , Nasr Al Hinai , Mohammad Khadem , Mohammad Shamsuzzaman","doi":"10.1016/j.sca.2025.100104","DOIUrl":"10.1016/j.sca.2025.100104","url":null,"abstract":"<div><div>The oil and gas industry, with numerous supply chain partners, significantly contributes to the world economy. This industry's operations involve complex processes and interactions with different stakeholders, leading to many drivers contributing to its complexity. This study identifies seventeen complexity drivers in the oil and gas supply chain based on an extensive literature review and the Pareto principle. The identified drivers were then analyzed using an integrated Analytical Hierarchy Process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approaches. The analysis reveals that the procurement system is the most important driver, followed by process synchronization among supply chain partners. Government regulation is the least influential driver in creating complexity in the oil and gas supply chain. Further analysis indicated that seven of the seventeen identified drivers were classified as causes, while the remaining ones fell under the effect group. The results of this study are expected to help decision-makers devise strategies based on the drivers with significant impact to minimize complexity and mitigate its effects on the oil and gas industry supply chain.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"10 ","pages":"Article 100104"},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548668","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-objective supply chain model for disaster relief optimization using neutrosophic programming and blockchain-based smart contracts 利用中性编程和区块链智能合约优化救灾的多目标供应链模型

Supply Chain Analytics Pub Date : 2025-02-25 DOI: 10.1016/j.sca.2025.100107

Alisha Roushan , Amrit Das , Anirban Dutta , Uttam Kumar Bera

{"title":"A multi-objective supply chain model for disaster relief optimization using neutrosophic programming and blockchain-based smart contracts","authors":"Alisha Roushan , Amrit Das , Anirban Dutta , Uttam Kumar Bera","doi":"10.1016/j.sca.2025.100107","DOIUrl":"10.1016/j.sca.2025.100107","url":null,"abstract":"<div><div>Efficient supply chain models are crucial for ensuring swift medical intervention and the timely delivery of essential supplies in disaster management. This study focuses on optimizing disaster relief efforts in meteorological disasters, specifically flash floods triggered by cloudburst events. We propose a multi-objective supply chain model that minimizes both cost and time during emergencies by employing drones for rapid response and delivery to inaccessible areas. The model leverages Dijkstra’s algorithm to identify the shortest emergency routes and integrates Neutrosophic Compromise Programming (NCP) and the Weighted Sum Method (WSM) to optimize drone deployment for cost-effectiveness and timely intervention. Pentagonal Type-2 Fuzzy Variables (PT2FV) manage uncertainty and accurately represent real-world disasters. The study also introduces a smart contract framework to enhance transparency and accountability in logistics and rescue operations. These smart contracts govern the assignment of drone-based delivery tasks, ensuring that supplies are optimally allocated and transported via the most efficient routes. The system verifies task completion and maintains a transparent record of the logistics process. The robustness of the model is validated through sensitivity analysis, while the smart contract system is confirmed through unit testing, demonstrating its reliability under varied conditions. This work aligns with Industry 5.0, integrating human-centric decision-making, drones, intelligent systems, and blockchain-based smart contracts to automate and effectively manage disaster, facilitating seamless collaboration between humans and machines.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"10 ","pages":"Article 100107"},"PeriodicalIF":0.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519915","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

Exploring the potential of industry 4.0 in manufacturing and supply chain systems: Insights and emerging trends from bibliometric analysis 探索工业4.0在制造和供应链系统中的潜力：来自文献计量分析的见解和新兴趋势

Supply Chain Analytics Pub Date : 2025-02-24 DOI: 10.1016/j.sca.2025.100108

Assiya Zahid , Patrice Leclaire , Lamia Hammadi , Roberta Costa-Affonso , Abdessamad El Ballouti

{"title":"Exploring the potential of industry 4.0 in manufacturing and supply chain systems: Insights and emerging trends from bibliometric analysis","authors":"Assiya Zahid , Patrice Leclaire , Lamia Hammadi , Roberta Costa-Affonso , Abdessamad El Ballouti","doi":"10.1016/j.sca.2025.100108","DOIUrl":"10.1016/j.sca.2025.100108","url":null,"abstract":"<div><div>The synergy between Industry 4.0, production, and supply chain management is transforming industrial ecosystems, enabling more intelligent, automated, and interconnected systems. This study presents a comprehensive bibliometric analysis of academic literature on Industry 4.0 technologies within these domains from 2011 to 2024. It aims to identify key research trends, major contributors, and emerging themes shaping this field. A systematic search in the Scopus database initially retrieved 679 records, with 104 selected based on inclusion and exclusion criteria. The analysis follows the PRISMA methodology for systematic reviews and utilizes Biblioshiny and VOSviewer to examine co-authorship networks, keyword co-occurrences, and citation patterns, providing a detailed assessment of research performance. The results indicate a significant increase in research output, particularly in the integration of Internet of Things, Artificial Intelligence, and big data analytics into production and supply chain systems. These technologies contribute to enhanced operational efficiency, product quality, and value chain management. The study also identifies the most influential authors, institutions, and countries. Furthermore, the findings highlight the increasing importance of emerging technologies such as IoT and blockchain in promoting sustainability, alongside the rising recognition of social and environmental dimensions in supply chain management. By mapping research trends and identifying key contributions, this bibliometric review offers valuable insights for researchers, practitioners, and policymakers. It underscores the transformative potential of Industry 4.0 in reshaping production and supply chains while outlining future research directions, particularly regarding technological integration, sustainability challenges, and the necessity of global cooperation to advance smart and sustainable supply chains.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"10 ","pages":"Article 100108"},"PeriodicalIF":0.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508860","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 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