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An Innovative Approach to Optimize Inbound Delivery Scheduling at Distribution Centers 优化配送中心入站配送调度的创新方法
International Journal of Operations Research and Information Systems Pub Date : 2024-07-17 DOI: 10.4018/ijoris.345920
Curtis Ying, Michael Liebson
{"title":"An Innovative Approach to Optimize Inbound Delivery Scheduling at Distribution Centers","authors":"Curtis Ying, Michael Liebson","doi":"10.4018/ijoris.345920","DOIUrl":"https://doi.org/10.4018/ijoris.345920","url":null,"abstract":"Distribution centers (DCs) run more efficiently if their inbound deliveries are spread out evenly over the days of the week so that volume is aligned with receiving capacity. However, delivery dates are often scheduled at the time of placing purchase orders without an efficient process for spreading deliveries evenly, and there has been little research on how to optimally do this. This paper terms this process Master Purchase Receipt Scheduling (MPRS) and introduces a novel MPRS algorithm developed by New Horizon Soft, LLC using data from a major U.S. restaurant chain, where the algorithm is now in use. The approach optimizes order delivery dates, accounting for vendor shipping calendars, shipment sizes, and transportation uncertainty. Results from a Monte Carlo simulation validate the effectiveness and robustness of the algorithm. By addressing the complexities of DC operations, this innovation promises to reduce receiving bottlenecks, increase efficiency and capacity utilization, and foster additional research in this vital area.","PeriodicalId":345660,"journal":{"name":"International Journal of Operations Research and Information Systems","volume":" 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Truck Fuel Consumption Prediction Using Logistic Regression and Artificial Neural Networks 基于Logistic回归和人工神经网络的货车油耗预测
International Journal of Operations Research and Information Systems Pub Date : 2023-08-29 DOI: 10.4018/ijoris.329240
Sheunesu Brandon Shamuyarira, Trust Tawanda, E. Munapo
{"title":"Truck Fuel Consumption Prediction Using Logistic Regression and Artificial Neural Networks","authors":"Sheunesu Brandon Shamuyarira, Trust Tawanda, E. Munapo","doi":"10.4018/ijoris.329240","DOIUrl":"https://doi.org/10.4018/ijoris.329240","url":null,"abstract":"Rising international oil costs and the transport industry's recovery from the effects of Covid-19 resulted in the efficient management of fuel by logistics companies becoming a significant concern. One way of managing this is by analyzing the fuel consumption of trucks so as to better utilize the costly resource. Twenty-three driving data variables were gathered from 210 freight trucks and analyzed this data. Relevant variables that impact truck fuel consumption were extracted from the initial 23 variables gathered using stepwise regression, and then a prediction model was built from the identified relevant variables utilizing a binary logistic regression model. In addition, a back propagation neural network was employed in this study to create a second model of truck fuel use, and comparisons between the two models were made. The outcomes showed that the binary logistic regression model and the back-propagated neural network model prediction accuracy were 68.4% and 77.2%, respectively.","PeriodicalId":345660,"journal":{"name":"International Journal of Operations Research and Information Systems","volume":"647 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115829835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Computational Comparison of Three Nature-Inspired, Population-Based Metaheuristic Algorithms for Modelling-to-Generate Alternatives 三种自然启发的、基于人口的元启发式算法的计算比较，用于建模生成替代方案
International Journal of Operations Research and Information Systems Pub Date : 2023-04-07 DOI: 10.4018/ijoris.321119
J. Yeomans
{"title":"A Computational Comparison of Three Nature-Inspired, Population-Based Metaheuristic Algorithms for Modelling-to-Generate Alternatives","authors":"J. Yeomans","doi":"10.4018/ijoris.321119","DOIUrl":"https://doi.org/10.4018/ijoris.321119","url":null,"abstract":"In “real life” decision-making situations, inevitably, there are numerous unmodelled components, not incorporated into the underlying mathematical programming models, that hold substantial influence on the overall acceptability of the solutions calculated. Under such circumstances, it is frequently beneficial to produce a set of dissimilar–yet “good”–alternatives that contribute very different perspectives to the original problems. The approach for creating maximally different solutions is known as modelling-to-generate alternatives (MGA). Recently, a data structure that permits MGA using any population-based solution procedure has been formulated that can efficiently construct sets of maximally different solution alternatives. This new approach permits the production of an overall best solution together with n locally optimal, maximally different alternatives in a single computational run. The efficacy of this novel computational approach is tested on four benchmark optimization problems.","PeriodicalId":345660,"journal":{"name":"International Journal of Operations Research and Information Systems","volume":"29 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114128757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Practitioner's Perspective of Marketing Theory Evolution 营销学理论演进的实践者视角
International Journal of Operations Research and Information Systems Pub Date : 2022-01-01 DOI: 10.4018/ijoris.312231
P. Kumar, U. Seshadri
{"title":"A Practitioner's Perspective of Marketing Theory Evolution","authors":"P. Kumar, U. Seshadri","doi":"10.4018/ijoris.312231","DOIUrl":"https://doi.org/10.4018/ijoris.312231","url":null,"abstract":"The study seeks to explore the history of marketing as a practice and the development of marketing as an academic discipline. The research is set out to decide whether or not marketing theory empowers young marketing practitioners. This literature review and integrative synthesis study considers the impact that neoliberal modes of governance have had on the academic discipline of marketing. The literature synthesis revealed that marketing was built as a discipline at the turn of the 20th century when universities operated under an academic paradigm where faculty were given academic freedom and autonomy. These ideals helped form the professional identity of the academic prior to the shift toward neoliberalism. Marketing is moving toward defining its place in academics as a distinct discipline—and not as a branch of economics. Finally, with a new definition of marketing, the study concludes that marketing has not yet developed an overarching theory—nor has it been able to construct a definition that is not dynamically dependent on economic theory.","PeriodicalId":345660,"journal":{"name":"International Journal of Operations Research and Information Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116060575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Open System for Master Production Scheduling: Information Technology for Semantic Connections between Data and Mathematical Models 主生产调度的开放系统:数据与数学模型之间语义连接的信息技术
International Journal of Operations Research and Information Systems Pub Date : 1900-01-01 DOI: 10.4018/JORIS.2010101301
Hyoung-Gon Lee, E. W. Schuster, Stuart J. Allen, Pinaki Kar
{"title":"The Open System for Master Production Scheduling: Information Technology for Semantic Connections between Data and Mathematical Models","authors":"Hyoung-Gon Lee, E. W. Schuster, Stuart J. Allen, Pinaki Kar","doi":"10.4018/JORIS.2010101301","DOIUrl":"https://doi.org/10.4018/JORIS.2010101301","url":null,"abstract":"Commonly provided by ERP vendors, master production scheduling (MPS) systems often strive to meet the needs of a large user base while limiting software functionality. Subsequently, business process reengineering becomes the means for firms to adapt to MPS software packages. This article develops a flexible approach for MPS delivery as an alternative to packaged software. The article examines the general case of open system architecture to deliver a specific master scheduling model to end-users. The open system approach fulfills a goal to standardize and speed the process of modeling in practice by creating a supply network for mathematical models that is searchable across the Internet with precision. The value lies on quickly putting state-of-the-art modeling in the hands of many users with no local computer implementation other than downloading an Excel spreadsheet.","PeriodicalId":345660,"journal":{"name":"International Journal of Operations Research and Information Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132319354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
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