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Findings summarize the most used decision-support methods, common domains, and the limitations of current approaches, with heuristic and metaheuristic optimization leading, simulation following, and AI remaining comparatively secondary.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/decision-support-systems-in-production-logistics-an-analytical-literature-review/238790/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/decision-support-systems-in-production-logistics-an-analytical-literature-review/238790.png","ImageObject",300,407,{"name":42,"@type":43},"Jake","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-31","2026-09-11",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",8,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What is the main purpose of decision support systems in production logistics according to the document?","Question",{"text":63,"@type":64},"DSS support well-informed and transparent decision-making and improve decision quality and the efficiency of the decision process. They act as auxiliary tools for semi-structured or unstructured problems in production logistics.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which decision-support methods are most commonly used in the reviewed literature?",{"text":68,"@type":64},"Heuristic and metaheuristic optimization methods are the most commonly employed decision-support methods, followed by simulation. AI technologies attract more interest, but their role in DSS for production logistics is described as secondary.",{"name":70,"@type":61,"acceptedAnswer":71},"How do the findings describe the relationship between AI and optimization/simulation?",{"text":72,"@type":64},"AI technologies are described as highly relevant when combined with optimization methods, similar to how simulation methods are used within such combined decision-support approaches.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},238790,1789139637,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,111,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":25,"category_name":108,"show_sort_weight":109,"slug":110},7,"Healthcare",40,"healthcare",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":55,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":80,"read_time":112,"preview_page_count":4},962084928904,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Proceedings of the 2025 Winter Simulation Conference  \nE. Azar, A. Djanatliev, A. Harper, C. Kogler, V. Ramamohan, A. Anagnostou, and S. J. E. Taylor, eds.  \nDECISION SUPPORT SYSTEMS IN PRODUCTION LOGISTICS: AN ANALYTICAL  \nLITERATURE REVIEW  \nKatharina Langenbach 1 , Markus Rabe 1 , and Christin Schumacher2  \n1Dept. IT in Production and Logistics, TU Dortmund University, Dortmund, NRW, GERMANY  \n2AutoSchedule, Dortmund, NRW, GERMANY  \nABSTRACT  \nDecision Support Systems (DSS) are a crucial component in production logistics, aiding companies in solving complex decision problems with multiple influences. This publication provides a structured review of the literature on the application of DSS in production logistics, focusing on methods for decision support, such as simulation and Artificial Intelligence (AI) . The analysis considers scientific publications from 2015 to 2024, including industry use cases. Data analysis of categorizations of DSS is used. The findings highlight trends and limitations of current DSS application cases from the literature. Optimization methods, particularly heuristic and metaheuristic, are the most commonly employed decision support methods, followed by simulation. Despite the increased interest in AI technologies, their role in DSS for production logistics remains secondary. Like simulation methods, AI technologies are highly relevant when combined with optimization methods. The study provides a foundation for future research and practical advancementsin decision support for manufacturing environments.  \n1 INTRODUCTION  \nEffective decision-making requires evaluating system-wide (cost) implications and their impact on customer value. This complex task requires human abilities, but can be supported by decision support systems (DSS) .  \nModeling and classification techniques within DSS are essential to abstract reality, identify environmental influences, and manage complexity. The granularity of the model must be sufficient to ensure the transferability and analysis of system-wide implications of solutions, yet simple enough to allow for efficient development and analysis (Schuh et al. 2012; Law 2015) .  \nTop-level management sets key priorities, deducing further objectives for all departments. Consistent with the company’s overall goals, production logistics typically aims to optimize economic objectives, such as minimizing process costs or maximizing performance under cost constraints. In addition, social and increasingly ecological goals are gaining importance and must be considered (Beckmann 2008; Kappler 1975; Gudehus 2010) .  \nThe ongoing digitization of manufacturing offers significant potential to improve the complex planning, control, and adaptability of production systems, with DSS following companies’ goals (Luo et al. 2023; Koch et al. 2018; Schumacher 2023) . Despite the availability of advanced methods, over 20 % of companies surveyed in 2016 and 2024 reported, for example, relying primarily on Excel for machine scheduling (Luo et al. 2023; Fuchs, C. 2024; Harjunkoski et al. 2014; Figueira et al. 2015) . According to Fuchs (2024), only 50 % of the manufacturers worldwide use specialized scheduling software, such as advanced planning and scheduling systems.  \nTo expand digitalisation, this publication aims to provide a comprehensive literature review of DSS with production logistics use cases. This publication identifies which methods are most commonly applied to which decision problem domain and which types of DSS are most frequently referenced and further developed in research publications from 2015 to 2024 .  \nLangenbach, Rabe, and Schumacher  \nThis publication is organized as follows: Section 2 provides the theoretical foundation by introducing decision support, methods of DSS, and the fundamentals of production logistics. At the end, Section 2 merges both fields and refers to related literature reviews. Section 3 outlines the research process for the literature review. Section 4 pres","cbCaicNPlxEycXv3","https://ap.wps.com/l/cbCaicNPlxEycXv3","pdf",1134155,12,"English","# Introduction\n## Decision Support\n## Fundamentals of Decision Support in Production Logistics and Related Work\n## Research Process (Literature Review)","[{\"question\":\"What is the main purpose of decision support systems in production logistics according to the document?\",\"answer\":\"DSS support well-informed and transparent decision-making and improve decision quality and the efficiency of the decision process. They act as auxiliary tools for semi-structured or unstructured problems in production logistics.\"},{\"question\":\"Which decision-support methods are most commonly used in the reviewed literature?\",\"answer\":\"Heuristic and metaheuristic optimization methods are the most commonly employed decision-support methods, followed by simulation. AI technologies attract more interest, but their role in DSS for production logistics is described as secondary.\"},{\"question\":\"How do the findings describe the relationship between AI and optimization/simulation?\",\"answer\":\"AI technologies are described as highly relevant when combined with optimization methods, similar to how simulation methods are used within such combined decision-support approaches.\"}]","Decision Support Systems in Production Logistics - An Analytical Literature Review | PDF"]