{"title":"An optimization model for sustainable multi-product multi-echelon supply chain networks with U-shaped assembly line balancing under uncertainty","authors":"Mehrzad Sheibani , Sadegh Niroomand","doi":"10.1016/j.sca.2023.100057","DOIUrl":null,"url":null,"abstract":"<div><p>This study presents an integrated supply chain network with suppliers, manufacturers, assemblers, and customers. The proposed model considers a U-shaped assembly line with three sustainability objective functions. We consider assumptions considering different types of raw materials, multiple products, location selection of manufacturers, location selection of assemblers, and capacity of suppliers. The problem is formulated non-linear and then linearized as a multi-objective model. Some cost and demand parameters are considered uncertain and are represented by fuzzy sets and theory. The proposed uncertain model is first converted to a multi-objective crisp model by applying the modified robust possibilistic programming approach. Then, the obtained crisp multi-objective model is solved by an interactive-fuzzy optimization approach in the literature. For computational study, some test problems are generated and solved using an original deterministic formulation and the crisp form of the uncertain formulation. The obtained results are analyzed and compared according to the objective function values. Finally, an extensive sensitivity analysis is performed on the parameters of the models.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"5 ","pages":"Article 100057"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949863523000560/pdfft?md5=cd211d8df17a2533e3a937f1f5a4d854&pid=1-s2.0-S2949863523000560-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supply Chain Analytics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949863523000560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study presents an integrated supply chain network with suppliers, manufacturers, assemblers, and customers. The proposed model considers a U-shaped assembly line with three sustainability objective functions. We consider assumptions considering different types of raw materials, multiple products, location selection of manufacturers, location selection of assemblers, and capacity of suppliers. The problem is formulated non-linear and then linearized as a multi-objective model. Some cost and demand parameters are considered uncertain and are represented by fuzzy sets and theory. The proposed uncertain model is first converted to a multi-objective crisp model by applying the modified robust possibilistic programming approach. Then, the obtained crisp multi-objective model is solved by an interactive-fuzzy optimization approach in the literature. For computational study, some test problems are generated and solved using an original deterministic formulation and the crisp form of the uncertain formulation. The obtained results are analyzed and compared according to the objective function values. Finally, an extensive sensitivity analysis is performed on the parameters of the models.
本研究提出了一个包含供应商、制造商、装配商和客户的集成供应链网络。提出的模型考虑了 U 型装配线和三个可持续性目标函数。我们考虑了不同类型原材料、多种产品、制造商位置选择、装配商位置选择和供应商能力等假设。该问题是非线性的,然后线性化为多目标模型。一些成本和需求参数被认为是不确定的,并用模糊集和理论来表示。首先通过应用改进的鲁棒可能性编程方法,将所提出的不确定模型转换为多目标简明模型。然后,用文献中的交互式模糊优化方法求解得到的多目标清晰模型。为了进行计算研究,生成了一些测试问题,并使用原始的确定性公式和不确定性公式的简明形式进行求解。根据目标函数值对得到的结果进行分析和比较。最后,对模型参数进行了广泛的敏感性分析。