{"title":"Exploring the performance impact of unit load selection in order picking: evidence from a cold retail supply chain","authors":"Dominic Loske, Tiziana Modica, Matthias Klumpp, Roberto Montemanni","doi":"10.1108/ijlm-04-2023-0150","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Prior literature has widely established that the design of storage locations impacts order picking task performance. The purpose of this study is to investigate the performance impact of unit loads, e.g. pallets or rolling cages, utilized by pickers to pack products after picking them from storage locations.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>An empirical analysis of archival data on a manual order picking system for deep-freeze products was performed in cooperation with a German brick-and-mortar retailer. The dataset comprises <em>N</em> = 343,259 storage location visits from 17 order pickers. The analysis was also supported by the development and the results of a batch assignment model that takes unit load selection into account.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The analysis reveals that unit load selection affects order picking task performance. Standardized rolling cages can decrease processing time by up to 8.42% compared to standardized isolated rolling boxes used in cold retail supply chains. Potential cost savings originating from optimal batch assignment range from 1.03% to 39.29%, depending on batch characteristics.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This study contributes to the literature on factors impacting order picking task performance, considering the characteristics of unit loads where products are packed on after they have been picked from the storage locations. In addition, it provides potential task performance improvements in cold retail supply chains.</p><!--/ Abstract__block -->","PeriodicalId":51424,"journal":{"name":"International Journal of Logistics Management","volume":"5 1","pages":""},"PeriodicalIF":7.2000,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Logistics Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/ijlm-04-2023-0150","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
Prior literature has widely established that the design of storage locations impacts order picking task performance. The purpose of this study is to investigate the performance impact of unit loads, e.g. pallets or rolling cages, utilized by pickers to pack products after picking them from storage locations.
Design/methodology/approach
An empirical analysis of archival data on a manual order picking system for deep-freeze products was performed in cooperation with a German brick-and-mortar retailer. The dataset comprises N = 343,259 storage location visits from 17 order pickers. The analysis was also supported by the development and the results of a batch assignment model that takes unit load selection into account.
Findings
The analysis reveals that unit load selection affects order picking task performance. Standardized rolling cages can decrease processing time by up to 8.42% compared to standardized isolated rolling boxes used in cold retail supply chains. Potential cost savings originating from optimal batch assignment range from 1.03% to 39.29%, depending on batch characteristics.
Originality/value
This study contributes to the literature on factors impacting order picking task performance, considering the characteristics of unit loads where products are packed on after they have been picked from the storage locations. In addition, it provides potential task performance improvements in cold retail supply chains.
期刊介绍:
The International Journal of Logistics Management (IJLM) is a scholarly publication that focuses on empirical research, with a particular emphasis on qualitative studies. The journal is committed to publishing articles that contribute original ideas to the field of logistics and supply chain management, which are presented in a clear and scientifically rigorous manner. All submissions undergo a rigorous, anonymous peer review process to ensure the quality and relevance of the research.
IJLM serves as a platform for the development and examination of management theories and practices in logistics and supply chain management. The journal aims to bridge the gap between academic research and practical application, providing a forum for researchers, practitioners, and educators to share insights and knowledge.