{"title":"Computer-based production planning, scheduling and control: A review","authors":"Nnamdi Cyprian Nwasuka, Uchechukwu Nwaiwu","doi":"10.1016/j.jer.2023.09.027","DOIUrl":null,"url":null,"abstract":"<div><p>This research presents a review of computer-based production planning, scheduling, and control (CPPSC). The purpose of this study is to illustrate the progress made in the current research on the planning and control of production and scheduling. Twenty-two papers selected for this study focused on the recent trends, approaches, and problems associated with CPPSC. Progress in the manufacturing paradigm in engineering justified why CPPSC could be applied to a set of systems to increase the production of goods and services and to further highlight the relevance of the decisions made and why substantial progress was made in the development of the theory regarding decision making in each of those areas in the past. The integration of line balancing and process plan selection in the Smart Manufacturing System would lead to more efficient production processes, reduced downtime, and improved resource utilization. Additionally, it would provide a comprehensive view of the production environment, allowing for data-driven decision-making and optimization strategies. To demonstrate the effectiveness of this novelty approach, researchers could set up a real-world pilot in a manufacturing facility. They can compare production performance before and after implementing the AI-driven Smart Manufacturing System. Key performance indicators (KPIs) such as production throughput, machine utilization, cycle time, and lead time can be used to quantify the improvements. Furthermore, case studies and simulation scenarios can be used to validate the system's potential benefits in various manufacturing settings.</p></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 1","pages":"Pages 275-280"},"PeriodicalIF":0.9000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2307187723002523/pdfft?md5=6a0f6080705126c8cb9300f4af7458e1&pid=1-s2.0-S2307187723002523-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2307187723002523","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This research presents a review of computer-based production planning, scheduling, and control (CPPSC). The purpose of this study is to illustrate the progress made in the current research on the planning and control of production and scheduling. Twenty-two papers selected for this study focused on the recent trends, approaches, and problems associated with CPPSC. Progress in the manufacturing paradigm in engineering justified why CPPSC could be applied to a set of systems to increase the production of goods and services and to further highlight the relevance of the decisions made and why substantial progress was made in the development of the theory regarding decision making in each of those areas in the past. The integration of line balancing and process plan selection in the Smart Manufacturing System would lead to more efficient production processes, reduced downtime, and improved resource utilization. Additionally, it would provide a comprehensive view of the production environment, allowing for data-driven decision-making and optimization strategies. To demonstrate the effectiveness of this novelty approach, researchers could set up a real-world pilot in a manufacturing facility. They can compare production performance before and after implementing the AI-driven Smart Manufacturing System. Key performance indicators (KPIs) such as production throughput, machine utilization, cycle time, and lead time can be used to quantify the improvements. Furthermore, case studies and simulation scenarios can be used to validate the system's potential benefits in various manufacturing settings.
期刊介绍:
Journal of Engineering Research (JER) is a international, peer reviewed journal which publishes full length original research papers, reviews, case studies related to all areas of Engineering such as: Civil, Mechanical, Industrial, Electrical, Computer, Chemical, Petroleum, Aerospace, Architectural, Biomedical, Coastal, Environmental, Marine & Ocean, Metallurgical & Materials, software, Surveying, Systems and Manufacturing Engineering. In particular, JER focuses on innovative approaches and methods that contribute to solving the environmental and manufacturing problems, which exist primarily in the Arabian Gulf region and the Middle East countries. Kuwait University used to publish the Journal "Kuwait Journal of Science and Engineering" (ISSN: 1024-8684), which included Science and Engineering articles since 1974. In 2011 the decision was taken to split KJSE into two independent Journals - "Journal of Engineering Research "(JER) and "Kuwait Journal of Science" (KJS).