Supply Chain Analytics最新文献_第10页

A hybrid forecasting model with logistic regression and neural networks for improving key performance indicators in supply chains 供应链关键绩效指标改进的逻辑回归与神经网络混合预测模型

Supply Chain Analytics Pub Date : 2023-10-05 DOI: 10.1016/j.sca.2023.100041

Rostyslav Pietukhov, Mujthaba Ahtamad, Mona Faraji-Niri, Tarek El-Said

{"title":"A hybrid forecasting model with logistic regression and neural networks for improving key performance indicators in supply chains","authors":"Rostyslav Pietukhov, Mujthaba Ahtamad, Mona Faraji-Niri, Tarek El-Said","doi":"10.1016/j.sca.2023.100041","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100041","url":null,"abstract":"<div><p>This study investigates the potential of predictive analytics in improving Key Performance Indicators (KPIs) forecasting by leveraging Lean implementation data in supply chain enterprises. A novel methodology is proposed, incorporating two key enhancements: using Lean maturity assessments as a new data source and developing a hybrid forecasting model combining Logistic regression and Neural Network techniques. The proposed methodology is evaluated through a comprehensive empirical study involving 30 teams in a large supply chain company, revealing notable improvements in forecasting accuracy. Compared to a baseline scenario without process improvement data, the new methodology achieves an enhanced accuracy score by 17% and an improved F1 score by 13 %. These findings highlight the benefits of integrating Lean maturity assessments and adopting a hybrid forecasting model, contributing to the advancement of supply chain analytics. By incorporating lean maturity assessments, the forecasting process is enhanced, providing a deeper comprehension of the underlying Lean framework and the impact of its elements on supply chain performance. Additionally, adopting a hybrid model aligns with current best practices in forecasting, allowing for the utilisation of various techniques to optimise KPI prediction accuracy while leveraging their respective strengths.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"4 ","pages":"Article 100041"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49751110","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}

引用次数: 0

Assessment of centralised and localised ice cream supply chains using neighbourhood flow configuration models 使用邻里流动配置模型评估集中式和本地化冰淇淋供应链

Supply Chain Analytics Pub Date : 2023-10-05 DOI: 10.1016/j.sca.2023.100043

Bogdan Dorneanu , Elliot Masham , Mina Keykha , Evgenia Mechleri , Rosanna Cole , Harvey Arellano-Garcia

{"title":"Assessment of centralised and localised ice cream supply chains using neighbourhood flow configuration models","authors":"Bogdan Dorneanu , Elliot Masham , Mina Keykha , Evgenia Mechleri , Rosanna Cole , Harvey Arellano-Garcia","doi":"10.1016/j.sca.2023.100043","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100043","url":null,"abstract":"<div><p>Traditional food supply chains are often centralised and global in nature, entailing substantial resource consumption. However, in the face of growing demand for sustainability, this strategy faces significant challenges. Adoption of localised supply chains is deemed a more sustainable option, yet its efficacy requires verification. Supply chain analytics methodologies provide invaluable tools to guide decisions regarding inventory management, demand forecasting and distribution optimisation. These solutions not only enhance facilitate operational efficiency, but also pave the way for cost reduction, further aligning with sustainability objectives. This research introduces a novel decision-making approach anchored in mixed integer linear programming (MILP) and neighbourhood flow models defined in cellular automata to compare the environmental benefits and vulnerability to disruption of these two chain configurations. Additionally, a comprehensive cost analysis is integrated to assess the economic feasibility of incorporating layout changes that enhance supply chain sustainability. The proposed framework is applied on an ice cream supply chain across England over a one-year timeframe. The findings indicate the superiority of the localised configuration in terms of economic benefits, leading to savings exceeding £ 1 million, alongside important reductions in environmental impact. However, in terms of resilience, the traditional configuration remains superior in three out of the four examined scenarios.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"4 ","pages":"Article 100043"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49727256","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}

引用次数: 0

A Stackelberg game for closed-loop supply chains under uncertainty with genetic algorithm and gray wolf optimization 基于遗传算法和灰狼优化的不确定闭环供应链Stackelberg博弈

Supply Chain Analytics Pub Date : 2023-09-25 DOI: 10.1016/j.sca.2023.100040

Abdollah babaeinesami , Peiman Ghasemi , Milad Abolghasemian , Adel Pourghader chobar

{"title":"A Stackelberg game for closed-loop supply chains under uncertainty with genetic algorithm and gray wolf optimization","authors":"Abdollah babaeinesami , Peiman Ghasemi , Milad Abolghasemian , Adel Pourghader chobar","doi":"10.1016/j.sca.2023.100040","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100040","url":null,"abstract":"<div><p>This study uses a two-level programming model to present a Stackelberg game. The two-level programming problems consist of two levels of decision-making, each level having its objective function. This model’s first player (leader) includes the supplier and manufacturer, while the second player (follower) includes the distributor, customer, and revival centers. The proposed model is proposed to determine the optimal amount of products and components in each network segment, minimizing the system’s total costs and optimizing transportation in the system. This research (1) considers the environmental factors in the supply chain of wooden products, (2) uses game theory and the Stackelberg game for two players, (3) provides the competition mechanism for two players where the two players do not share their objective functions due to information security. The proposed model is compared with Genetic Algorithm (GA) and Gray Wolf Optimization (GWO) meta-heuristic algorithms. We show the calculation error of the GWO algorithm is less than that of GA. Therefore, it can better predict the behavior of the model in the long term. The results show lower production costs in case of no shortage.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"4 ","pages":"Article 100040"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49727253","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}

引用次数: 2

A novel variational inequality approach for modeling the optimal equilibrium in multi-tiered supply chain networks 基于变分不等式的多层供应链网络最优均衡建模方法

Supply Chain Analytics Pub Date : 2023-09-14 DOI: 10.1016/j.sca.2023.100039

Sheng-Xue He, Yun-Ting Cui

{"title":"A novel variational inequality approach for modeling the optimal equilibrium in multi-tiered supply chain networks","authors":"Sheng-Xue He, Yun-Ting Cui","doi":"10.1016/j.sca.2023.100039","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100039","url":null,"abstract":"<div><p>We present a novel variational inequality model (VIM) to capture the complex real decision-making process in multi-tiered supply chain networks (MSCN) without strictly limiting the features of related functions. The VIM is formulated with the equilibrium conditions on links as the optimization goal and the flow conservation condition as the main constraints. We transform the VIM into a series of equivalent Non-Linear Programming Models (NLPMs) to solve. To address this challenge, we propose a novel population-based heuristic algorithm called the Multiscale Model Learning Algorithm (MMLA). The MMLA is inspired by the learning behavior of individuals in a group and can converge to an optimal equilibrium state of the MSCN. The MMLA has two key operations: zooming in on the search field and learning search in a learning stage. The excellent performers, called medalists, are imitated by other learners. With the increase in learning stages, the learning efficiency is improved, and the searching energy is concentrated in a more promising area. We employ sixteen benchmark optimization problems and two supply chain networks to demonstrate the effectiveness of the MMLA and the rationality of the equilibrium models. The results obtained by MMLA for the NLPM show that the MMLA can solve the equilibrium model effectively, and multiple optimal equilibrium states may exist for an MSCN. The flexibility of the NLPM makes it possible to consider more complicated decision-making mechanisms in the model.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"4 ","pages":"Article 100039"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49751736","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}

引用次数: 0

A fuzzy TOPSIS model for selecting digital technologies in circular supply chains 循环供应链中数字技术选择的模糊TOPSIS模型

Supply Chain Analytics Pub Date : 2023-09-06 DOI: 10.1016/j.sca.2023.100038

Umair Tanveer , Marios Dominikos Kremantzis , Nikos Roussinos , Shamaila Ishaq , Leonidas Sotirios Kyrgiakos , George Vlontzos

{"title":"A fuzzy TOPSIS model for selecting digital technologies in circular supply chains","authors":"Umair Tanveer , Marios Dominikos Kremantzis , Nikos Roussinos , Shamaila Ishaq , Leonidas Sotirios Kyrgiakos , George Vlontzos","doi":"10.1016/j.sca.2023.100038","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100038","url":null,"abstract":"<div><p>Several digital technologies are available to facilitate the transition toward a circular supply chain infrastructure. Small-Medium Enterprises (SMEs) should assess their readiness and measure their performance to select the most appropriate digital technology. This study explores how well-established digital technologies such as Cyber-Physical Systems (CPS), the Internet of Things (IoT), Cloud Manufacturing (CM), and Big Data Analytics (BDA) impact circular supply chain infrastructure in SMEs. Questionnaires have been distributed to collect employees’ preferences concerning the circular supply chain management criteria (profit, innovation, sustainability, and optimization). The responses have been organized into three clusters using Principal Component Analysis (PCA). A fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) technique is adopted to evaluate these technologies since it constitutes a reliable managerial tool when vagueness impacts the smooth operation of the supply chain. Results indicate the ranking order of the investigated digital technologies (CPS>IoT>CM>BDA) as well as the circular benefits and the supply chain attributes imparted upon implementing these technologies. Such benefits and attributes are provided to assess the impact of these digital technologies on a circular economy. Lastly, the perspective of the selection process affected by other factors, such as the enterprise’s extroversion level and its internal structure, are discussed.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"4 ","pages":"Article 100038"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49751520","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}

引用次数: 5

A Bi-objective cap-and-trade model for minimising environmental impact in closed-loop supply chains 在闭环供应链中最小化环境影响的双目标限额与交易模型

Supply Chain Analytics Pub Date : 2023-09-01 DOI: 10.1016/j.sca.2023.100020

Massimiliano Caramia, Emanuele Pizzari

{"title":"A Bi-objective cap-and-trade model for minimising environmental impact in closed-loop supply chains","authors":"Massimiliano Caramia, Emanuele Pizzari","doi":"10.1016/j.sca.2023.100020","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100020","url":null,"abstract":"<div><p>A Closed-Loop Supply Chain (CLSC) is a complex network with unique environmental features and attributes that requires specific managerial policies and strategies. Quantitative models can provide a solid basis for these policies and strategies. This study expands the work of Shoaeinaeini et al. (2021) on Green Supply Chain Management. We propose a bi-objective facility location, demand allocation, and pricing model for CLSC networks. The proposed model considers two conflicting objective functions: maximising profits and minimising emissions. We show consumer environmental awareness can predict the products’ rate of return and determine a more suitable price for new products and the acquisition price for used products. The cap-and-trade policy has been implemented at its fullest potential, allowing the trading of carbon quotas. Therefore, companies may decide to produce less to sell more quotas or vice-versa, effectively picking the most profitable option. The model is solved and tested with the commercial solver BARON. The model effectively shows the trade-off between generating profits and emission reduction. Companies are able to turn a profit while abiding by the government’s intention of reducing emissions. The comparison with a single-objective version of the model highlights that the concurrent optimisation of economic and environmental objectives yields better results. The acquisition price of used products is a value worthy of monitoring. The government should focus on policies to assist the reverse flow of used products.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"3 ","pages":"Article 100020"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49750709","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}

引用次数: 1

An integrated multi-criteria decision-making approach for overcoming barriers to green supply chain management and prioritizing alternative solutions 一种综合的多标准决策方法，用于克服绿色供应链管理的障碍和优先考虑替代解决方案

Supply Chain Analytics Pub Date : 2023-09-01 DOI: 10.1016/j.sca.2023.100027

Alper Özaşkın , Ali Görener

{"title":"An integrated multi-criteria decision-making approach for overcoming barriers to green supply chain management and prioritizing alternative solutions","authors":"Alper Özaşkın , Ali Görener","doi":"10.1016/j.sca.2023.100027","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100027","url":null,"abstract":"<div><p>Green practices are no longer a wish but a must in business. Despite that, businesses interested in implementing green supply-chain practices encounter several barriers. This study aims to analyze the barriers and solution proposals related to green supply chain practices in the manufacturing sector. Face-to-face interviews with eleven decision-makers in the manufacturing industry who know about green supply chain practices provided the data for the study. In the analysis phase, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used to analyze the barriers that are effective in implementing green supply chain practices. Combining it with fuzzy logic and the Evaluation based on Distance from Average Solution (EDAS) and Complex Proportional Assessment (COPRAS) methods were used to evaluate solution proposals. The Copeland method was used to combine the results and find the final rankings. The three most important barriers are identified as the lack of technological hardware and software infrastructure, fear of failure, and non-adoption of technological improvements. The solutions that can be used in the implementation phase are training employees, collaborating with other businesses, and improving government support and incentives.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"3 ","pages":"Article 100027"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49767345","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}

引用次数: 3

A multi-agent-based real-time truck scheduling model for cross-docking problems with single inbound and outbound doors 基于多智能体的单出入口交叉对接实时调度模型

Supply Chain Analytics Pub Date : 2023-09-01 DOI: 10.1016/j.sca.2023.100028

Bilge Torbali , Gülgün Alpan

{"title":"A multi-agent-based real-time truck scheduling model for cross-docking problems with single inbound and outbound doors","authors":"Bilge Torbali , Gülgün Alpan","doi":"10.1016/j.sca.2023.100028","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100028","url":null,"abstract":"<div><p>Cross-docking is a logistics methodology employed in warehouses to gain a competitive advantage by consolidating and transferring freights directly from an inbound supplier to an outbound client with no or restricted storage. Real-time data processing is required for fast synchronisation of inflows and outflows. This study develops a real-time multi-agent truck scheduling model for single inbound-single outbound cross-docking for fast synchronisation of inflows and outflows. The proposed model exploits the autonomous, reactive, and distributed responsibility characteristics of the multi-agent systems to realise shared computation and respond flexible responses to dynamic events. This type of model is novel in the cross-docking literature for scheduling of both inbound and outbound trucks. The responsiveness of the proposed model is evaluated by employing a combination of different traffic levels based on truck arrival times. Furthermore, various truck-to-door assignment strategies are implemented to achieve the best performance based on key performance indicators such as the average stock level, the number of late pallets, the pallet delay and the outbound truck fill rate. To validate the experimental results, ANOVA (analysis of variance) is performed. The analysis demonstrates that the stock policy (SP) outperforms all the others by sustaining low stock levels and high on-time deliveries and truck fill rates across all traffic levels, while the time-related strategies are adequate for cases where outbound traffic is more elevated than inbound traffic.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"3 ","pages":"Article 100028"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49727373","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}

引用次数: 2

A bi-objective model for scheduling green investments in two-stage supply chains 两阶段供应链中绿色投资调度的双目标模型

Supply Chain Analytics Pub Date : 2023-09-01 DOI: 10.1016/j.sca.2023.100029

Massimiliano Caramia , Giuseppe Stecca

引用次数: 2

An investigation of green supply chain management practices on organizational performance using multivariate statistical analysis 绿色供应链管理实践对组织绩效的多元统计分析研究

Supply Chain Analytics Pub Date : 2023-09-01 DOI: 10.1016/j.sca.2023.100034

Ghanashyam Khanal , Ruby Shrestha , Niranjan Devkota , Manish Sakhakarmy , Surendra Mahato , Udaya Raj Paudel , Yatish Acharya , Chandra Kanta Khanal

{"title":"An investigation of green supply chain management practices on organizational performance using multivariate statistical analysis","authors":"Ghanashyam Khanal , Ruby Shrestha , Niranjan Devkota , Manish Sakhakarmy , Surendra Mahato , Udaya Raj Paudel , Yatish Acharya , Chandra Kanta Khanal","doi":"10.1016/j.sca.2023.100034","DOIUrl":"https://doi.org/10.1016/j.sca.2023.100034","url":null,"abstract":"<div><p>Global warming and climate change are the main hurdles facing humanity. They are caused by various market practices, such as mining natural resources, fossil fuels used for power generation, dumping hazardous waste, massive electricity generation, and much more. Different ideas, such as the use of hybrid cars, solar power, biogas, etc., have arisen to do business without negatively impacting the environment and Green Supply Chain Management (GSCM) is one of them. This paper focuses on the impact of GSCM practices on manufacturing companies’ operational efficiency and overall organizational performance. The study is explanatory and is based on the qualitative model. To analyze the factors influencing organizational performance concerning GSCM, we created questionnaires and utilized structural equation modeling (SEM) for inferential analysis. Our study revealed a mediating role between business performance and GSCM practices. Manufacturing companies need to consider the interaction between internal and external aspects of GSCM to integrate their operations effectively. Additionally, we suggest that examining the relationship between GSCM practices and organizational performance is crucial. This examination addresses the major obstacles in utilizing GSCM practices effectively and proposes a management approach for implementing GSCM in organizations.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"3 ","pages":"Article 100034"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49767356","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}

引用次数: 2