Corporate scandals such as those at Tyco, Enron, and WorldCom have caused the decline of public trust in accounting and reporting practices. In response, US passed the Sarbanes Oxley Law (Sarbanes) in 2002, the most important corporate governance law since securities laws in 1930s. Section 302...

The paper studies the impact of a green supplier’s overconfidence on inventory decisions in a supply chain consisting of a supplier facing effort-dependent stochastic demand and a rational retailer. The overconfident supplier may overestimate the product demand due to carbon-reduction green...

We combine the Analytic Network Process (ANP) and the Balanced Scorecard (BSC) to build a cohesive decision model for determining firm level IT outsourcing strategy. Although prior research has confirmed the existence of interactions among BSC indicators and the potential impact of those...

We study the robust inventory decision-making problem faced by risk-averse managers with incomplete demand information in a newsvendor setting. Three basic models are developed: expected profit maximization, CVaR-based profit maximization, and a combination of the two. Each model is robustly...

We study a two-machine flowshop scheduling problem with time-dependent deteriorating jobs, i.e. the processing times of jobs are an increasing function of their starting time. The objective is to minimize the total completion time subject to minimum makespan. We propose a mixed integer...

In this paper we develop a methodology to study the sensitivity and the stability of models built using the Analytic Network Process. We study two types of stability: core and solution stability. The former deals with finding the region of the perturbation space in which the initial solution...

We investigate the equilibrium behaviors of a two-stage supply chain (SC) under three supply chain structures: (i) manufacturer Stackelberg (MS), (ii) retailer Stackelberg (RS) and (iii) vertical Nash (VN). Given quality and marketing effort-dependent demand, we develop models to optimize the...

This research proposes a solution framework based on discrete-event simulation, sequential bifurcation (SB) and response surface methodology (RSM) to address a multi-response optimization problem inherent in an auto parts supply chain. The objective is to identify the most efficient operating...

This research is motivated by an automobile manufacturing supply chain network. It involves a multi-echelon production system with material supply, component fabrication, manufacturing, and final product distribution activities. We address the production planning issue by considering bill of...

Online retailing provides an opportunity for new pricing options that are not feasible in traditional retail settings. This paper proposes an interactive, dynamic pricing strategy from the perspective of customized bundling to derive savings for customers while maximizing profits for electronic...