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Full-Text Articles in Operations and Supply Chain Management

An Empirical Estimation Of Statistical Inferences For System Dynamics Model Parameters, Mohammed Mesabbah, Wael Rashwan, Amr Arisha Dec 2014

An Empirical Estimation Of Statistical Inferences For System Dynamics Model Parameters, Mohammed Mesabbah, Wael Rashwan, Amr Arisha

Conference papers

For system dynamics simulation (SD) models, an estimation of statistical distributions for uncertain parameters is crucial. These distributions could be used for testing models sensitivity, quality of policies, and/or estimating confidence intervals for these parameters. Assumptions related to normality, independence and constant variation are often misapplied in dynamic simulation. Bootstrapping holds a considerable theoretical advantage when used with non-Gaussian data for estimating empirical distributions for unknown parameters. Although it is a widely acceptable approach, it has had only limited use in system dynamics applications. This paper introduces an application of Direct Residual Bootstrapping (DRBS) for statistical inference in system dynamic …


Capacity Planning With Financial And Operational Hedging In Low‐Cost Countries, Lijian Chen, Shanling Li, Letian Wang Sep 2014

Capacity Planning With Financial And Operational Hedging In Low‐Cost Countries, Lijian Chen, Shanling Li, Letian Wang

MIS/OM/DS Faculty Publications

The authors of this paper outline a capacity planning problem in which a risk-averse firm reserves capacities with potential suppliers that are located in multiple low-cost countries. While demand is uncertain, the firm also faces multi-country foreign currency exposures. This study develops a mean-variance model that maximizes the firm’s optimal utility and derives optimal utility and optimal decisions in capacity and financial hedging size. The authors show that when demand and exchange rate risks are perfectly correlated, a risk- averse firm, by using financial hedging, will achieve the same optimal utility as a risk-neutral firm. In this paper as well, …


Integrating Simulation Modelling And Value Stream Mapping For Leaner Capacity Planning Of An Emergency Department, Esmat Swallmeh, Ayman Tobail, Waleed Abo-Hamad, James Gray, Amr Arisha Jul 2014

Integrating Simulation Modelling And Value Stream Mapping For Leaner Capacity Planning Of An Emergency Department, Esmat Swallmeh, Ayman Tobail, Waleed Abo-Hamad, James Gray, Amr Arisha

Conference papers

Recently, the application of lean thinking in healthcare has grown significantly in response to rising demand, caused by population growth, ageing and high expectations of service quality. However, insufficient justifications and lack of quantifiable evidence are the main obstacles to convince healthcare executives to adopt lean philosophies. This paper presents a real application of the successful implementation of a methodology that integrates Value Stream Mapping (VSM) and simulation modelling to improve an emergency department (ED) of a University hospital in Dublin. Appling lean approach in operations will minimize the patient waiting time and improve service time. VSM points out to …


Assortment Planning Of Automotive Products: Considerations For Economic And Environmental Impacts Of Technology Selection, Ali Taghavi, Ratna Babu Chinnam May 2014

Assortment Planning Of Automotive Products: Considerations For Economic And Environmental Impacts Of Technology Selection, Ali Taghavi, Ratna Babu Chinnam

Industrial and Systems Engineering Faculty Research Publications

A manufacturer’s assortment is the set of products that the company offers to its customers. Assortment planning considerably affects both the sales revenue and product offering costs for the company and it had experienced growing attention across different industries over recent decades. In this study, we propose a modeling framework that seeks to identify the optimal assortment for a manufacturer of configurable products (in particular, automobiles). Our model accounts for environmental considerations (Corporate Average Fuel Economy requirements, tail-pipe emissions, and greenhouse gas emissions related to the production of the fuel used to power the vehicle) during assortment planning. We formulate …


The Promises And Challenges Of Innovating Through Big Data And Analytics In Healthcare, Donald E. Wynn, Renée M. E. Pratt Apr 2014

The Promises And Challenges Of Innovating Through Big Data And Analytics In Healthcare, Donald E. Wynn, Renée M. E. Pratt

MIS/OM/DS Faculty Publications

In this article, we present the promises and challenges of big data and analytics (BD&A) in healthcare, informed by our observations of and interviews with healthcare providers in the US and European Union (EU). We then provide a set of recommendations for capitalizing on the extraordinary innovation opportunities available through big data.


An Experimental Investigation Of Outsourcing Through Competition, Ehsan Elahi, Roger Blake Jan 2014

An Experimental Investigation Of Outsourcing Through Competition, Ehsan Elahi, Roger Blake

Management Science and Information Systems Faculty Publication Series

Our research uses laboratory experiments to examine the theoretical results of competition between suppliers in an outsourcing setup. We consider a supply chain in which a single buyer needs to outsource the manufacturing of a product among N potential suppliers. The buyer allocates demand to suppliers not on the basis of price, but rather on service. We analyze the levels of service suppliers will decide to provide when competing on three different criteria specified by the buyer. For the first, suppliers compete by providing the buyer a specific service level (fill-rate), and for the second by maintaining a specific quantity …


Two Stage Procurement Processes With Competitive Suppliers And Uncertain Supplier Quality, Yue Jin, Jennifer K. Ryan, Walter Yund Jan 2014

Two Stage Procurement Processes With Competitive Suppliers And Uncertain Supplier Quality, Yue Jin, Jennifer K. Ryan, Walter Yund

Department of Supply Chain Management and Analytics: Faculty and Staff Publications

This paper considers a sourcing problem faced by a manufacturer who outsources the manufacturing of a product to one of several competing suppliers, whose cost and quality capabilities are unknown. We consider a two-stage sourcing process in which the first stage is the qualification stage, while the second stage is the supplier selection stage. In the first stage, the manufacturer exerts effort to learn about the quality level of each of the suppliers and then must determine the set of qualified suppliers, subject to some tolerance for error. In the second stage, the manufacturer runs a price-only procurement auction, in …