{"title":"A New Design Approach for Milkrun-Based In-Plant Supply in Manufacturing Systems","authors":"T. Bányai, Ádám Francuz","doi":"10.36897/jme/152245","DOIUrl":null,"url":null,"abstract":"In manufacturing technologies milkrun and water-spider-based material handling represents up-to-date solutions, especially in the case of just-in-time and just-in-sequence in-plant supply. The objective of this research work is to show how to support the design of milkrun-based in-plant supply with heuristic optimisation in manufacturing processes. This paper proposes a new optimisation approach that can determine the optimal parameters of material handling operations of manufacturing technologies focusing on milkrun-based in-plant supply of manufacturing and assembly cells and lines. After a careful systematic literature review, this paper introduces a structural model to formulate the problem of routing of milkrun trolleys in manufacturing and assembly processes. Next, a potential mathematical model is described. Numerical results demonstrate how the proposed approach supports the decision making process in milkrun design focusing on the optimisation of the required number of milkrun trolleys and the routing of them.","PeriodicalId":37821,"journal":{"name":"Journal of Machine Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Machine Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36897/jme/152245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1
Abstract
In manufacturing technologies milkrun and water-spider-based material handling represents up-to-date solutions, especially in the case of just-in-time and just-in-sequence in-plant supply. The objective of this research work is to show how to support the design of milkrun-based in-plant supply with heuristic optimisation in manufacturing processes. This paper proposes a new optimisation approach that can determine the optimal parameters of material handling operations of manufacturing technologies focusing on milkrun-based in-plant supply of manufacturing and assembly cells and lines. After a careful systematic literature review, this paper introduces a structural model to formulate the problem of routing of milkrun trolleys in manufacturing and assembly processes. Next, a potential mathematical model is described. Numerical results demonstrate how the proposed approach supports the decision making process in milkrun design focusing on the optimisation of the required number of milkrun trolleys and the routing of them.
期刊介绍：
ournal of Machine Engineering is a scientific journal devoted to current issues of design and manufacturing - aided by innovative computer techniques and state-of-the-art computer systems - of products which meet the demands of the current global market. It favours solutions harmonizing with the up-to-date manufacturing strategies, the quality requirements and the needs of design, planning, scheduling and production process management. The Journal'' s subject matter also covers the design and operation of high efficient, precision, process machines. The Journal is a continuator of Machine Engineering Publisher for five years. The Journal appears quarterly, with a circulation of 100 copies, with each issue devoted entirely to a different topic. The papers are carefully selected and reviewed by distinguished world famous scientists and practitioners. The authors of the publications are eminent specialists from all over the world and Poland. Journal of Machine Engineering provides the best assistance to factories and universities. It enables factories to solve their difficult problems and manufacture good products at a low cost and fast rate. It enables educators to update their teaching and scientists to deepen their knowledge and pursue their research in the right direction.
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