This article reports on a marketing initiative at a pharmaceutical company to redesign its distribution network. Distribution affects a firm's cost and customer satisfaction and drives profitability. Using a nonlinear mixed-integer programming model, the authors develop a distribution network...

This study focuses on retail promotion planning problem in a multi-objective, multimarket and multi-period framework and concomitantly addresses the following questions: What are the conditions for a retailer to offer an online promotion to all or a select set of the markets it is operating in?...

Motivated by the need of small and medium-sized hospitals to improve their platelet inventory management, we develop a finite-horizon dynamic programming model to optimize inventory control for perishable product (e.g., platelet) with 3-period shelf-life. In addition to identifying the best...

Firms increasingly invest in corporate social responsibility (CSR) as a competitive strategy. Cause Marketing (CM) is a type of CSR where a firm donates to a cause to attract prosocial customers. Empirical evidence has established that firms linked with a cause add value to customers, charge...

This paper considers a two-machine flow shop scheduling problem with deteriorating jobs in which the processing times of jobs are dependent on their starting times in the sequence. The objective is to minimize the weighted sum of makespan and total completion time. To analyse the problem, we...

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...

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...

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...

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...