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Operations Research, Systems Engineering and Industrial Engineering Commons™
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Articles 1 - 13 of 13
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Risk-And-Resiliency-Intelligent Supply Chain (Rrisc), Ahmad A. Abdelnabi, Ahmed M. Abdelmagid, Ghaith Rabadi, Andres Sousa-Poza, C. Ariel Pinto
Risk-And-Resiliency-Intelligent Supply Chain (Rrisc), Ahmad A. Abdelnabi, Ahmed M. Abdelmagid, Ghaith Rabadi, Andres Sousa-Poza, C. Ariel Pinto
Modeling, Simulation and Visualization Student Capstone Conference
This work proposes a risk-and-resiliency-intelligent supply chain (RRiSC) tool which is an SC risk management framework that leverages cutting-edge technologies in Artificial Intelligence (AI), Big Data Analytics (BDA), and Digital Twins (DT) to develop specific capabilities for SC risk management. RRiSC is a convergence of mature tools and techniques embedded in three modules: Modeling, Simulation, and Visualization – all together integrate the optimization, simulation, and data analytics to test the performance of the whole supply network under different scenarios through measuring the vital KPIs, identifying the vulnerabilities, and setting proactive plans to diminish risks consequences.
Multi-Period Lot-Sizing With Supplier Selection: Structural Results, Complexity And Algorithms, Meichun Lin, Woonghee Tim Huh, Guohua Wan
Multi-Period Lot-Sizing With Supplier Selection: Structural Results, Complexity And Algorithms, Meichun Lin, Woonghee Tim Huh, Guohua Wan
Research Collection Lee Kong Chian School Of Business
We consider a multi-period lot-sizing problem with multiple products and multiple suppliers. Demand is deterministic and time-varying. The objective is to determine order quantities to minimize the total cost over a finite planning horizon. This problem is strongly NP-hard. For a special case, we extend the classical zero-inventory-ordering principle and solve it by dynamic programming. Based on this new extension, we also develop a heuristic algorithm for the general problem and computationally show that it works well.
Integration Of Blockchain Technology Into Supply Network For Resilient And Efficient Acquisition [Video], Adrian Gheorghe, Farinaz Sabz Ali Pour, Unal Tatar, Omer Faruk Keskin, Cornel Vintila, Laura Manciu
Integration Of Blockchain Technology Into Supply Network For Resilient And Efficient Acquisition [Video], Adrian Gheorghe, Farinaz Sabz Ali Pour, Unal Tatar, Omer Faruk Keskin, Cornel Vintila, Laura Manciu
Engineering Management & Systems Engineering Faculty Publications
In the modern acquisition, it is unrealistic to consider single entities as producing and delivering a product independently. Acquisitions usually take place through supply networks. Resiliency, efficiency, and effectiveness of supply networks directly contribute to the acquisition system's resiliency, efficiency, and effectiveness. All the involved firms form a part of a supply network essential to producing the product or service. The decision-makers have to look for new methodologies for supply chain management. Blockchain technology introduces new methods of decentralization and delegation of services, which can transform supply chains and result in a more resilient, efficient, and effective supply chain. This …
Online Fulfillment: F-Warehouse Order Consolidation And Bops Store Picking Problems, Wen Zhu
Online Fulfillment: F-Warehouse Order Consolidation And Bops Store Picking Problems, Wen Zhu
Dissertations
Fulfillment of online retail orders is a critical challenge for retailers since the legacy infrastructure and control methods are ill suited for online retail. The primary performance goal of online fulfillment is speed or fast fulfillment, requiring received orders to be shipped or ready for pickup within a few hours. Several novel numerical problems characterize fast fulfillment operations and this research solves two such problems. Order fulfillment warehouses (F-Warehouses) are a critical component of the physical internet behind online retail supply chains. Two key distinguishing features of an F-Warehouse are (i) Explosive Storage Policy – A unique item can be …
Identification Of Reverse Engineering Candidates Utilizing Machine Learning And Aircraft Cannibalization Data, Marc Banghart
Identification Of Reverse Engineering Candidates Utilizing Machine Learning And Aircraft Cannibalization Data, Marc Banghart
International Journal of Aviation, Aeronautics, and Aerospace
As military aircraft continue to remain in service and age, cannibalization of parts is increasing. Proactive identification of parts that are at high risk for cannibalization will inform engineering processes such as reverse engineering, thus allowing potentially reducing lead time to develop new parts. The research objective was to develop a causal structure that can be used for prediction of when cannibalization actions may occur. Bayesian networks allow encoding of causality between various descriptive features given a data set. The method utilized a tabu search algorithm, identified the underlying causal structure and the associated node probabilities. The method is then …
Inventory Optimization In Manufacturing Organizations, Scott William Lemke
Inventory Optimization In Manufacturing Organizations, Scott William Lemke
Walden Dissertations and Doctoral Studies
Inventories totaling 1.7 trillion U.S. dollars represent an opportunity for U.S. manufacturers. This exploratory case study researched supply chain strategies used to manage inventory in manufacturing operations of a U.S. manufacturing company. A mature value chain contained within a single organization using the value chain framework was the basis for this study. Individual interviews conducted with 16 managers responsible for defining and implementing inventory control strategies, and 4 internal users provided primary information for the study. Other sources of information included a value chain map created through the observation of operations, various inventory measurements, and policies and guidelines related to …
Supply Chain "Mega-Trends": Current Status And Future Trends, Edward Sweeney
Supply Chain "Mega-Trends": Current Status And Future Trends, Edward Sweeney
Practitioner Journals
The supply chain management (SCM) concept has become embedded in the thinking of many organisations in recent years. Originally introduced by management consultants in the early 1980s, SCM has a strong focus on integration of processes across functions within firms, as well as between the organisations that comprise the wider extended enterprise. There is a significant body of research to support the notion that the consistent delivery of value to customers is predicated on higher levels of intra-firm and inter-firm integration. Putting the supply chain integration (SCI) concept into practice is critically dependent on the ability of firms to manage …
Manufacturing Strategy & Operations: Reflections On Key Current Issues: Challenges And Associated Human Resource Implications, Lorraine Mcgrath
Manufacturing Strategy & Operations: Reflections On Key Current Issues: Challenges And Associated Human Resource Implications, Lorraine Mcgrath
Books/Book chapters
This chapter evaluates the current issues and challenges in defining a company’s manufacturing strategy and its production operations in consideration of the contemporary shift to low cost manufacturing locations. Competitive priorities of cost, quality, delivery and flexibility are reviewed. The structural and infrastructure elements of a manufacturing strategy are outlined. Mitigating risks in a global arena are reviewed. Collaborative efforts, including the cultural and personality issues of being human are included in the discussion of managing diversity in such a highly competitive and challenging enterprise resource planning environment.
Design Thinking In Enterprise Supply Chains, Edward Sweeney
Design Thinking In Enterprise Supply Chains, Edward Sweeney
Other Resources
No abstract provided.
Assessing Aviation E-Marketplaces: A Mmulti-Criteria Approach., Emilio Esposito, Pietro Evangelista, Michele Mastroianni, Renato Passaro, Edward Sweeney, Claudia-Maria Wagner
Assessing Aviation E-Marketplaces: A Mmulti-Criteria Approach., Emilio Esposito, Pietro Evangelista, Michele Mastroianni, Renato Passaro, Edward Sweeney, Claudia-Maria Wagner
Books/Book chapters
After a proliferation of logistics e-Marketplaces during the dot.com boom of 1998-2000, there has been a high rate of failure and survivals are developing much more slowly than expected. This is the case in the aviation industry where a large number of B2B e-Marketplaces emerged according to the focus of aviation companies’ strategies on electronic B2B in the late 1990s. However, the current use of e-Marketplaces in the industry is low and many of them have ceased trading. The traditional e-Marketplaces model has been characterised by poor quality portals and a lack of technical standards. Such an approach is unsustainable …
Supply Chain And Logistics Technology Investment In Small And Medium-Sized Enterprises, Edward Sweeney
Supply Chain And Logistics Technology Investment In Small And Medium-Sized Enterprises, Edward Sweeney
Practitioner Journals
No abstract provided.
Supply Chain Management: Scm Key To Competitiveness, Edward Sweeney
Supply Chain Management: Scm Key To Competitiveness, Edward Sweeney
Practitioner Journals
Any meaningful attempt to eliminate waste and improve cost competitiveness in the Irish packaging sector must have a strong focus on how the supply chain is designed and managed.
Supply Chain Information Sharing In A Macro Prediction Market, Zhiling Guo, Fang Fang, Andrew B. Whinston
Supply Chain Information Sharing In A Macro Prediction Market, Zhiling Guo, Fang Fang, Andrew B. Whinston
Research Collection School Of Computing and Information Systems
This paper aims to address supply chain partners' incentives for information sharing from an information systems design perspective. Specifically, we consider a supply chain characterized by N geographically distributed retailers who order a homogeneous product from one manufacturer. Each retailer's demand risk consists of two parts: a systematic risk part that affects all retailers and an idiosyncratic risk part that only has a local effect. We propose a macro prediction market to effectively elicit and aggregate useful information about systematic demand risk. We show that such information can be used to achieve accurate demand forecast sharing and better channel coordination …