Operations and Supply Chain Management Commons^™

Advanced Intermediate Manufacturing (Aim) Supply Chain Concepts Leading To Reduced Lead Times And Improved Responsiveness, Eric S. Draudt

Theses and Dissertations

This thesis investigates the optimization of the supply chain for key aircraft components, focusing on the implementation of Advanced Intermediate Manufacturing (AIM) production facilities. Utilizing anyLogistix, the study compares the current supply chain model based on Supply Chain Operations Wing (SCOW) data with various AIM production facility configurations: single, dual, quadruple, and three utilization-driven models (high, medium, and low). The findings demonstrate that integrating AIM production facilities significantly reduces lead times, with even a single facility dramatically cutting down the lead time from over 800 days to approximately 104 days. The utilization models further provide insights into operational flexibility under …

Teaching How Supply Chain Operations Impact Financial Results: A Case Study Using Cloud-Based Simulation, Michael J. Murray

Southwestern Business Administration Journal

Understanding how the execution of the supply chain business processes affect the financial performance a firm is key to running a successful enterprise. These processes are integrated across many functional groups within a business organization, and it is difficult to illustrate this integration in a classroom setting. This paper presents a case study of teaching supply chain operations and business analytics using the cloud-based SAP ERPsim manufacturing game. Although teaching about enterprise systems is often classified as part of the MIS or accounting domain, the ERPsim simulation encompasses the primary supply chain business processes, and because the enterprise system on …

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.

Exploring Blockchain Adoption Supply Chains: Opportunities And Challenges, Adrian V. Gheorghe, Omer F. Keskin, Farinaz Sabz Ali Pour

Engineering Management & Systems Engineering Faculty Publications

In modern supply chains, acquisition often occurs with the involvement of a network of organizations. The resilience, efficiency, and effectiveness of supply networks are crucial for the viability of acquisition. Disruptions in the supply chain require adequate communication infrastructure to ensure resilience. However, supply networks do not have a shared information technology infrastructure that ensures effective communication. Therefore decision-makers seek new methodologies for supply chain management resilience. Blockchain technology offers new decentralization and service delegation methods that can transform supply chains and result in a more flexible, efficient, and effective supply chain. This report presents a framework for the application …

Development Of A Framework To Support Informed Shipbuilding Based On Supply Chain Disruptions, Katherine Smith, Rafael Diaz, Yuzhong Shen

VMASC Publications

In addition to stresses induced by the Covid-19 pandemic, supply chains worldwide have been growing more complex while facing a continuous onslaught of disruptions. This paper presents an analysis and extension of a graph based model for modeling and simulating the effects of such disruptions. The graph based model combines a Bayesian network approach for simulating risks with a network dependency analysis approach for simulating the propagation of disruptions through the network over time. The initial analysis provides evidence supporting extension to for using a multi-layered approach allowing for the inclusion of cyclic features in supply chain models. Initial results …

Capacity Allocation And Revenue Sharing In Healthcare Alliances, Xiaoquan Gao, Jianpei Wen, Jie Song

Research Collection Lee Kong Chian School Of Business

This study investigates the operations of a healthcare alliance, where two types of independent hospitals [general hospitals (GHs) and community healthcare centers (CHCs)] collaborate in capacity allocation and revenue management to improve efficiency and revenue. Specifically, the GH allocates part of its capacity to establish a dedicated green channel for referral patients from the CHC based on a negotiated revenue sharing scheme. Generally, independent hospitals, like GHs and CHCs, in the healthcare delivery system provide complementary and substitute services due to the referral process and patients choice. Both service providers need each other, and their collaboration is very beneficial to …

Managing Clinic Variability With Same-Day Scheduling, Intervention For No-Shows, And Seasonal Capacity Adjustments, Kum Khiong Yang, Tugba Cayirli

Research Collection Lee Kong Chian School Of Business

This study investigates demand and capacity strategiesfor managing clinic variability. These include (i) same-day scheduling tocontrol random walk-ins, (ii) no-show intervention, where the clinic callsadvance-booked patients a day before to identify and release canceled slots tosame-day patients, and (iii) adjustments to daily number of appointments foradvance-booked patients to match seasonal variations in same-day demand. Thesestrategies are tested over the individual-block/fixed-interval (IBFI) and theDome appointment rules. The resulting appointment systems are tested underscenarios with different levels of same-day demand, demand seasonality,no-shows and cost ratios. The goal is to minimize the weighted sum of patients’wait time and physician’s idle-time and overtime. Our …

Humanitarian Logistics: Shipping Designs For The Post Disaster Cargo Surge, Nicholas L. Green

Theses and Dissertations

In 2017 Hurricane Maria devastated Puerto Rico. The humanitarian aid community scrambled a response to support the 3.4 million people affected by the disaster. In response, thousands of shipping containers filled with supplies were sent to the island. Numerous reports surfaced regarding significant delays in receiving the shipments. This research reviews the historical account of cargo throughput into Puerto Rico following Maria. A computer simulation built in ARENA compares various what-if scenarios based on empirically collected data and interviews with FEMA, port authorities, and commercial cargo carriers to determine how the humanitarian supply chain could improve for future disaster planning. …

Assessment Of Adaptability Of A Supply Chain Trading Agent’S Strategy: Evolutionary Game Theory Approach, Yoon Sang Lee, Riyaz T. Sikora

Journal of International Technology and Information Management

With the increase in the complexity of supply chain management, the use of intelligent agents for automated trading has gained popularity (Collins, Arunachalam, B, et al. 2006). The performance of supply-chain agents depends on not just the market environment (supply and demand patterns) but also on what types of other agents they are competing with. For designers of such agents it is important to ascertain that their agents are robust and can adapt to changing market and competitive environments. However, to date there has not been any work done that assesses the adaptability of a trading agent’s strategy in the …

Resilient Aircraft Maintenance Constructs: Enhancing Repair Network Designs To Effectively Manage Risks And Supply Chain Interruptions, Thomas S. Bihansky

Theses and Dissertations

This research aims to extend the understanding of supply chain resiliency by utilizing a simulation model of a U.S. Air Force aircraft engine repair network to evaluate the degree of resiliency built into the system. The study compares the recovery time of the disrupted current system to that of a fully-integrated repair network; the objective being the quantification of resiliency in the current networks design and gauging the effectiveness of various strategies in reducing recovery time. This contributes to current literature by bridging the explicit gap on how to quantify, measure, and compare resilient supply chain strategies and also provides …

An Adaptive Supplier Selection Mechanism In E-Procurement Marketplace, Liangjun You, Dong-Qing Yao, Riyaz T. Sikora, Barin Nag

Journal of International Technology and Information Management

B2B e-commerce has fundamentally changed the way in which an organization purchases goods/service. Nowadays, the adoption of e-procurement, which means the electronic acquisition of goods/service, has been prevalent in supply chain management. A variety of supplier selection models have been developed in supply chain management literature. In this research, an adaptive supplier selection mechanism is proposed to help buyers evaluate suppliers in an e-marketplace. A Multi-Agent System simulation package of Repast is used to create a realistic environment where different kinds of suppliers and buyers equipped with the proposed selection model can interact so as to study the performance of …

Predicting The Performance Of Queues: A Data Analytic Approach, Kum Khiong Yang, Cayirli Tugba, Mei Wan Low

Research Collection Lee Kong Chian School Of Business

Existing models of multi-server queues with system transience and non-standard assumptions are either too complex or restricted in their assumptions to be used broadly in practice. This paper proposes using data analytics, combining computer simulation to generate the data and an advanced non-linear regression technique called the Alternating Conditional Expectation (ACE) to construct a set of easy-to-use equations to predict the performance of queues with a scheduled start and end time. Our results show that the equations can accurately predict the queue performance as a function of the number of servers, mean arrival load, session length and service time variability. …

Managing Emergency Department Crowding Through Improved Triaging And Resource Allocation, Kum Khiong Yang, Sean Shao Wei Lam, Joyce M. W. Low, Marcus Eng Hock Ong

Research Collection Lee Kong Chian School Of Business

Long waiting times in emergency departments (EDs) not only reduce patients’ perceived quality of care, but also increase crowding which can adversely affect patients’ outcomes. Waiting time has been found to affect patients’ outcomes and is closely associated with delays in the provision of ancillary services to ED patients by the diagnostic/treatment laboratories. The focus of this study is to improve the flow of ED patients by testing alternative triage processes and capacity of physicians, triage nurses and laboratories. Three alternative triage processes are examined for managing the flow of ED patients through shared and dedicated laboratories across different utilization …

Spare Parts On Demand Using Additive Manufacturing : A Simulation Model For Cost Evaluation., Stefan Jedeck

Electronic Theses and Dissertations

Little is known about the impact of additive manufacturing in the spare part supply chain. A few studies are available, but they focus on specific parts and their applications only. A general model, which can be adapted to different applications, is nonexistent. This dissertation proposes a decision making framework that enables an interested practitioner/manager to decide whether using additive manufacturing to make spare parts on demand is economical when compared to conventional warehousing strategy. The framework consists of two major components: a general discrete event simulation model and a process of designing a wide range of simulation scenarios. The goal …

A Universal Appointment Rule With Patient Classification For Service Times, No-Shows And Walk-Ins, Cayirli Tugba, Kum Khiong Yang

Research Collection Lee Kong Chian School Of Business

This study evaluates patient classification for scheduling and sequencing appointments for patients differentiated by their mean and standard deviation of service times, no-show, and walk-in probabilities. Alternative appointment systems are tested through simulation using a universal Dome rule and some of the best traditional appointment rules in the literature. Our findings show that the universal Dome rule performs better in terms of reducing the total cost of patient’s waiting time, doctor’s idle time, and overtime, and its performance improves further with the right sequencing of patient groups. Although it is a challenge to find the best sequence, we propose a …

The Transient Collaboration Model: Theory Building, Structural Formation, And Operationalization, Adrian C. Tan

Theses and Dissertations (Comprehensive)

This thesis seeks to describe the Transient Collaboration Model as a business model, its underlying theoretical principles, its empirical evidence, and its types of possible collaboration structures. The research seeks to determine how companies may build sustained competitive advantages through the structural design of their collaboration associations as a strategic option. Companies' ability to retain long-term competitive advantages is limited in more unpredictable environments. Companies could not afford to internally build and hold all the possible varieties and quantities of resources and capabilities to build future competitive advantages. Collaboration can provide companies with access to multiple partners with diverse resources …

An Integrated Decision Support Framework For Assessing Food Supply Chain Risk Management Processes: A Food Retail Case Study, Amr Arisha, John Crowe

Conference papers

Global confidence and reliability in Irish food supply chains are essential elements to overall competiveness and future growth. The complex nature of food supply chains make them vulnerable to many sources of risk, both internal and external. Integrating the SCOR11 model with system dynamics and discrete-event simulation modelling is effective decision support integration, reducing the risks decision makers have to manage daily. At GRD, using the integrated framework to assess the risks associated with lean initiatives helped management in understanding both the risk scenario, likelihood and impact factor of their decisions on operations performance measures.

Analysis Of International Epc Projects Using Scor Model, Monetecarlito Simulation, And Relationship Management, Xiaopeng Liang

Masters Theses, 2010-2019

The EPC contracting mode (Engineering, Procurement and Construction) has been broadly applied in construction projects, particularly, at the international level. However, the procurement process has been scarcely in literature. The purpose of this thesis is to research the procurement processes of different types of products—ETO (Engineer to order), MTO (Make to order), and MTS (make to stock)—in supply chain for a real international EPC cement project in Ethiopia. The procurement processes of steel bar (MTS), precast steel structure (MTO), and vertical mill (ETO) for the “Raw Meal Grinding and Exhaust Gas Treat,” one of the cement plant workshops, have been …

A Simulation Approach To Airline Cost Benefit Analysis, Massoud Bazargan, David Lange, Luyen Tran, Zhiyuan Zhou

Management, Marketing and Operations - Daytona Beach

In this paper we conduct a cost benefit analyses using simulation for an Airline. This study pertains to using Towbarless Towing Vehicles (commonly referred to as supertugs) to transport aircraft to and from the terminal to airline’s maintenance hangar facility at their hub. This study attempts to investigate the possibility of reducing costs through saving jet fuel by adopting supertugs and identify if their high purchasing costs are justified. This study adopts simulation to analyze the annual savings by studying the numbers needed, as well as the utilization and operation cost for these supertugs. The results are very encouraging, enabling …

The Industrial Dynamics Of Order Rationing, Shortage Gaming, And Retail Promotions Demand Shock: A Discrete Event Simulation Experiment, Uio In Sara Liao-Troth

College of Graduate Studies: Theses & Dissertations

This research investigates the impact of order rationing strategies, shortage gaming responses, and retail promotions demand shock on the long-term system performance of the inventory ordering and fulfillment process between competing retailers and a shared upstream manufacturer. The research addresses a need to understand the horizontal dynamics of competition for supply inventory among interconnected entities within business systems. It also expands understanding of the interactions between various manufacturer order rationing strategies and retailer shortage gaming responses, in the context of supply capacity constraints arising from a retail promotions demand shock.

A discrete event simulation based on a US major appliance …

Conditional Lot Splitting To Avoid Setups While Reducing Flow Time, Jacob V. Simons, Mark E. Kraus, Willis Mwangola, Gerard Burke

Logistics & Supply Chain Management: Faculty Publications

Previous research has clearly and consistently shown that flow time advantages accrue from splitting production lots into smaller transfer batches or sub-lots. Less extensively discussed, and certainly undesired, is the fact that lot splitting may dramatically increase the number of setups required, making it impractical in some settings. This paper describes and demonstrates a primary cause of these “extra” setups. It then proposes and evaluates decision rules which selectively invoke lot splitting in an attempt to avoid extra setups. For the closed job shop environment tested, our results indicate that conditional logic can achieve a substantial portion of lot splitting’s …

Managing A Flow Line With Single-Kanban, Dual-Kanban Or Conwip, Kum Khiong Yang

Research Collection Lee Kong Chian School Of Business

To control the production of different parts on a single flow line, managers can choose between the Single-kanban, Dual-kanban, and Conwip. This paper therefore compares the three different systems. The results show that Conwip consistently produces the shortest mean customer wait time and lowest total work-in-process. Our results also contradict the finding of a previous study, which showed that Dual-kanban performed better than Single-kanban. The different findings can, however, be attributed to the use of a material transfer policy, which favors the Dual-kanban modeled in the previous study. Our study shows that transferring replenished containers immediately to downstream stations, increasing …

Scheduling A Medium-Sized Manufacturing Shop: A Simulation Study, Daniel J. Mcfeely

Theses and Dissertations

This study examined the application of simple-to-use, low cost scheduling methods to the operating environment of a medium-sized manufacturing shop. Computer simulation was used to evaluate eighteen different scheduling algorithms, each the result of the combination of a loading and a sequencing rule; due date setting was not considered since due dates are exogenously set. The loading rules investigated were Minimum Machine Required, Lowest Average WIP, and Lowest Average Aggregate Priority Level. The sequencing rules investigated were Priority, EDD, FIS, SPT, Slack, and Slack Ratio. The scheduling algorithms were evaluated against performance measures of mean tardiness, mean flowtime, mean percentage …