Computers & Industrial Engineering最新文献

{"title":"A robust optimization method for multi-cast batching plans and casting start time dynamic decision in continuous casting process","authors":"Yong-Zhou Wang ,&nbsp;Zhong Zheng ,&nbsp;Shi-Yu Zhang ,&nbsp;Xiao-Qiang Gao","doi":"10.1016/j.cie.2024.110587","DOIUrl":"10.1016/j.cie.2024.110587","url":null,"abstract":"<div><div>The cast batching planning and the decision-making regarding the casting start time for continuous casters in steel production are core techniques for ensuring orderly and efficient production. The formulation of multi-cast batching plans is crucial for ensuring quasi-continuous and low-cost operation of continuous casting process. The execution of cast batching plans can be affected by the supply of molten iron. The fluctuation in blast furnace discharging rhythm and transportation time at the iron-steel interface has led to uncertainty in molten iron supply. Thus, this paper proposes a robust optimization method for formulation of multi-cast batching plans and dynamic decision-making on casting start times. This method not only optimizes the combining and sequencing of charge batching plans within multi-cast batching plans but also takes into account the conditions for continuous casting between different cast batching plans. It makes decisions on casting start times and adjusts adaptively considering the arrival of molten iron. An integer programming model M1 is established with the optimization objectives including the production efficiency, continuity degree of continuous casting plans, and comprehensive penalty values for deviations from the expected plan. Furthermore, considering the uncertainty in the arrival time of molten iron, a robust optimization model M2 for dynamic decision-making on casting start times is developed. A multi-objective hybrid-coding non-dominated sorting genetic algorithm is designed. This approach first obtains multi-cast batching plans, then dynamically calculates casting start time based on the online metal resource quantity, thereby obtaining real-time decision optimization schemes for cast batching plans and casting start time under dynamic molten iron arrival. The model was tested using manual decision-making data from the production performance of a specific steel plant. The results indicate that the model established based on the proposed method outperforms the classical NSGA-II algorithm and manual decision-making.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"197 ","pages":"Article 110587"},"PeriodicalIF":6.7,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding after-market service channel selection for complex product-services supply chains: A game-theoretical approach","authors":"Pengqi Du ,&nbsp;Jose M. Framinan ,&nbsp;Hongzhuan Chen","doi":"10.1016/j.cie.2024.110630","DOIUrl":"10.1016/j.cie.2024.110630","url":null,"abstract":"<div><div>Today, cooperation between an OEM (Original Equipment Manufacturer) of Complex Products and Systems (CoPS) and her multiple Key Component Suppliers (KCSs) is characterized by a strategic partnership where long-term benefits are sought for both parties. Since CoPS after-market service can be provided by the KCS, the OEM, or an MRO (Maintenance, Repair, and Overhaul) party, different after-market service channels can be established. In this paper, we model each of these channels using game theory, compare their main features, and discuss the selection of the optimal after-market service channel. We show that the duration of the after-market service is not influenced by the service channel if the service cost remains constant. If the after-market service costs are equal for all parties, each party would prefer the other to perform the service. In the case of different costs, both the cost of the service and potential market size have the same effect on the OEM’s preference for the after-market service channel as on the CoPS ordered quantities. Furthermore, OEM and KCS after-market service channel preferences depend on market size, and “win-win” situations are discussed for the different channels, along with their impact on the long-term stability of the strategic partnership between KCS and OEM. Finally, a sensitivity analysis is carried out to examine the impact of several key parameters. The results presented in the paper serve to deepen the understanding of complex product-service systems and offer a number of managerial insights to select an appropriate after-market service channel for KCSs.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"197 ","pages":"Article 110630"},"PeriodicalIF":6.7,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142446092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven simulation methodology for exploring optimal storage location assignment scheme in warehouses","authors":"Chaoran Xu ,&nbsp;Ming Zhao ,&nbsp;Hongjie Li","doi":"10.1016/j.cie.2024.110627","DOIUrl":"10.1016/j.cie.2024.110627","url":null,"abstract":"<div><div>Storage location assignment effects the efficiency of order picking, and thus it is significant for improving operation management in warehouses. Due to the dynamic nature of order picking, system simulation has been recently used for solving Storage Location Assignment Problem (SLAP). However, most previous studies aimed at using simulation to evaluate and verify the optimum storage schemes obtained from mathematical programming, which belongs to “optimize first and then simulation” in essence. In this context, we proposed a novel data-driven simulation methodology for solving SLAP in this study. A four-quadrant judgment criterion is proposed to guide storage locations assignment based on correlation and turnover frequency of items. Moreover, trajectory and blocked heatmaps are involved for exploring the contribution of different factors to order picking efficiency through scenario experiments. A prototype simulator was then developed and applied in a case study to demonstrate its utility. The results obtained reveals the fact that congestion blocking is another key factor impacting global order picking efficiency, and thus considering the correlation between items in storage schemes designing may not always improve the system performance due to the accompanying increases of blocking intensity during the dynamic order picking processes. The findings also demonstrate our inference that the priority of turnover frequency-based storage policy should be higher than correlation between items in designing storage schemes. This work provides new perspectives and valuable demonstration on the evaluating the contribution of different factors to global order picking efficiency as well as exploring optimal storage schemes through emerging data-driven simulation paradigm.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110627"},"PeriodicalIF":6.7,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decision-making in a green trade-ins closed-loop supply chain under financial constraints and corporate social responsibility (CSR)","authors":"Yongxi Yi,&nbsp;Xianwen He,&nbsp;Yuqiong Li,&nbsp;Chao Li","doi":"10.1016/j.cie.2024.110626","DOIUrl":"10.1016/j.cie.2024.110626","url":null,"abstract":"<div><div>The green and circular economy are two significant themes intertwined in sustainable development, which requires that they be dealt with integral rather than fragmented, as in most previous cases. Therefore, this paper models a closed-loop supply chain consisting of a manufacturer, an e-commerce platform, and a recycler. Among them, the manufacturer with CSR, the game leader, is responsible for green technology innovation, product manufacturing, and remanufacturing. The e-commerce platform and recycler follow online sales and recycling for used products. To solve this Stackelberg game model, we distinguish three scenarios, i.e., the recycler with sufficient funds, financially constrained recycler financing from the manufacturer, or the e-commerce platform. The results show that the recycling rate, the level of green innovation, the profit of each party, and total social welfare are the highest, second, and lowest in those three scenarios, respectively, if borrowing rates are the same in the latter two cases. The interest rate decreases to a certain extent under both financing models, contributing to improving supply chain performance. The manufacturer assumes CSR contributes to the profit of all other parties, the increase in the recycling rate, and the level of green innovation. However, the manufacturer’s profit decreases instead of rising, which reveals that the manufacturer should be actively assuming CSR to a certain extent.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"197 ","pages":"Article 110626"},"PeriodicalIF":6.7,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142437956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Omnibus control charts for Poisson counts","authors":"Christian H. Weiß","doi":"10.1016/j.cie.2024.110615","DOIUrl":"10.1016/j.cie.2024.110615","url":null,"abstract":"<div><div>Traditional control charts for Poisson counts are tailor-made for detecting changes in the process mean while assuming that the Poisson assumption is not violated. But if the mean changes together with the distribution family, the performance of these charts may deviate considerably from the expected out-of-control behavior. In this research, omnibus control charts for Poisson counts are developed, which are sensitive to a broad variety of process changes (“all-rounders”). This is achieved by adapting common omnibus goodness-of-fit (GoF) tests to process monitoring. More precisely, different GoF-tests based on the probability generating function (pgf) are combined with an exponentially weighted moving-average (EWMA) approach in various ways. A comprehensive simulation study leads to clear design recommendations on how to achieve the desired omnibus property. The practical benefits of the proposed omnibus EWMA charts are demonstrated with several real-world data examples.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110615"},"PeriodicalIF":6.7,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic supply and transportation planning of a supply chain for agricultural biomass to hydrogen and syngas","authors":"Yohanes Kristianto Nugroho ,&nbsp;Liandong Zhu","doi":"10.1016/j.cie.2024.110640","DOIUrl":"10.1016/j.cie.2024.110640","url":null,"abstract":"<div><div>Strategic supply and transportation planning of agricultural biomass to hydrogen and syngas supply chain with inter-fuel and inter-biomass substitution was studied in this paper. The sourcing and transportation decision was modeled, according to bi-level optimization, where suppliers competed on supply capacity by maximizing their profits at minimum transportation and holding cost. Considering supply chain superstructure, dual biomass suppliers were modeled to supply a biofuel producer who produced two different types of biofuels. The supply planning was combined with transportation planning to minimize total supply chain costs. The results showed that the model was capable of finding optimum purchase and selling prices and production capacity, by maximizing inter-fuel and inter-biomass substitutability. Another key finding was that the proposed model was capable of finding optimum order allocation to both biomass suppliers in such a way that there was an equal profit distribution between suppliers and biofuel producers.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"197 ","pages":"Article 110640"},"PeriodicalIF":6.7,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-objective human-robot collaborative disassembly line balancing considering components remanufacture demand and hazard characteristics","authors":"Lixia Zhu ,&nbsp;Yarong Chen ,&nbsp;Jabir Mumtaz","doi":"10.1016/j.cie.2024.110621","DOIUrl":"10.1016/j.cie.2024.110621","url":null,"abstract":"<div><div>Disassembly enterprises face significant challenges in managing increasingly intensive workloads with a workforce alone. To address this, current study focuses on balancing a human-robot collaborative disassembly line. For the task operator allocation problem, a mapping constraint mechanism between the disassembly tasks and the task operators is established based on the remanufacture demand and hazard characteristics of components. A mixed-integer programming model is formulated, encompassing four optimization objectives: the number of workstations, the task operator idle balancing index, the demand index, and the hazard index. A novel modified teaching and learning optimization approach is proposed for the addressed human-robot collaborative disassembly line balancing problem. A two-layer encoding strategy is designed based on the solving characteristics of the problem and an embedded perturbation strategy based on randomly transforming the task operator is introduced to enhance the optimization performance of the proposed method. The validity of the mixed-integer programming model and the efficacy of the proposed algorithm are demonstrated through two small-scale human-robot collaborative disassembly case studies. The proposed algorithm is then applied to two real-life cases of human-robot collaborative disassembly lines with different scales. The results of the proposed optimization method are compared with other advanced algorithms, demonstrating its superior performance in both single-objective and multi-objective optimization based on multiple evaluation indicators.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"197 ","pages":"Article 110621"},"PeriodicalIF":6.7,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The convergence of IoT and sustainability in global supply chains: Patterns, trends, and future directions","authors":"Mohammad Rahimi ,&nbsp;Mehrdad Maghsoudi ,&nbsp;Sajjad Shokouhyar","doi":"10.1016/j.cie.2024.110631","DOIUrl":"10.1016/j.cie.2024.110631","url":null,"abstract":"<div><div>This study investigates the pivotal role of Internet of Things (IoT) applications in advancing sustainable supply chains through a comprehensive analysis of research trends, international collaborations, and thematic evolution. Utilizing data from the Web of Science database, the research employs an innovative methodological framework combining keyword network analysis, country collaboration networks, and thematic mapping. The study reveals seven distinct keyword communities, highlighting the dominance of enabling technologies and the emergence of sector-specific applications. Analysis of international collaborations identifies five country clusters, each with unique research foci and collaborative patterns. The thematic map and evolution analysis uncover critical research gaps, including underexplored areas such as security in IoT-enabled supply chains and the integration of smart city concepts. The study projects future research directions, emphasizing the convergence of artificial intelligence and IoT, and the need for more holistic approaches to sustainability in supply chain management. The findings underscore the potential of IoT to foster sustainable business models that balance economic, social, and environmental benefits. This research contributes to the growing body of knowledge on IoT applications in sustainable supply chains by providing a multifaceted analysis of the field’s structure, evolution, and future trajectory. The insights offered are valuable for researchers, policymakers, and practitioners seeking to leverage IoT for creating more efficient, resilient, and sustainable supply chains in an increasingly globalized and environmentally conscious market.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"197 ","pages":"Article 110631"},"PeriodicalIF":6.7,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recyclability level and quantity decisions of electronic manufacturers under four recycling systems of extended producer responsibility","authors":"Qixiang Wang ,&nbsp;Baixue Chen ,&nbsp;Zhe Wang ,&nbsp;Yande Gong","doi":"10.1016/j.cie.2024.110617","DOIUrl":"10.1016/j.cie.2024.110617","url":null,"abstract":"<div><div>Some electronic manufacturers and groups have left or are planning to leave the default recycling system that regulates their responsibilities for end-of-life (EoL) products. A legislative menu in the extended producer responsibility (EPR) framework allows manufacturers to choose the rate or cost model freely. In this paper, we model four potential recycling systems to study how two firms with brand differentiation should choose legislative models. We analyze the effect of take-back rate and brand differentiation on the firms’ equilibrium decisions, identify the condition in which firms leave the default plan, and further compare economic and environmental outcomes among all recycling systems. We find that only the cost system creates free-riding avenues because the current cost allocation mechanism by market shares does not concern the environmental contributions of members. We also find that the hybrid system (which includes rate-cost and cost-rate systems) provides higher design incentives than the basic case (which includes rate and cost systems), contrasting to the conventional wisdom in which the rate system has superior design incentives. Finally, our results demonstrate that the rate-cost system performs better economic and environmental benefits due to the perfect match between differentiated manufacturers and legislative models.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"197 ","pages":"Article 110617"},"PeriodicalIF":6.7,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A bi-population cooperative scatter search algorithm for distributed hybrid flow shop scheduling with machine breakdown","authors":"Yang Zuo ,&nbsp;Fuqing Zhao ,&nbsp;Jianlin Zhang","doi":"10.1016/j.cie.2024.110624","DOIUrl":"10.1016/j.cie.2024.110624","url":null,"abstract":"<div><div>The occurrence of machine breakdowns is a frequent and dynamic phenomenon in the production process. The implementation of effective preventive measures can mitigate such events and result in reduced production costs. This paper investigates the distributed hybrid flow shop scheduling problem with machine breakdown (DHFSSPB) considering short maintenance time. The bi-population cooperative scatter search (BCSS) algorithm is proposed to address the DHFSSPB, wherein the search for the optimal scheduling sequence is transformed into genetic evolution aiming to obtain a gene chain with both minimum lower bound and minimum cost attributes. Firstly, the DHFSSPB problem is modeled through a combination of predictive maintenance strategy and right-shift rescheduling rule. Subsequently, a diversification approach is developed to facilitate attribute inheritance, enhance the efficiency of job allocation, and establish a reference set. The reference set is partitioned into two subpopulations based on lower bound attributes and cost attributes, respectively. The corresponding hybrid search strategies are designed to enhance the efficiency of job sorting and machine selection for subpopulations with distinct attributes. The cooperative evolution between subpopulations occurs through the competitive interaction and fusion of individuals. An enhanced reinforcement learning approach is proposed to expedite the acceleration of individual attribute evolution by leveraging evolutionary knowledge acquired from populations, thereby effectively guiding the evolutionary trajectories of individuals. Additionally, a method for evaluating the population during the learning process is developed based on problem characteristics to enhance learning efficiency. Experimental results demonstrate that BCSS outperforms the comparative algorithm in solving the DHFSSPB.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"197 ","pages":"Article 110624"},"PeriodicalIF":6.7,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}