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In environments where tax rates in local regions do not represent major decision factors, a cost minimization methodology, which represents the most common optimization modeling approach for integrated manufacturing and distribution planning, can help formulate an effective integrated plan. However, when planning flexibility or alternatives exist because of differing local country tax rates and types and intra‐company transfer pricing options, cost minimization methodologies may inaccurately identify profit‐maximizing global production and distribution plans. Instead, a profit maximization model that explicitly evaluates decisions such as where to incur tax liabilities and how to set intra‐company prices may be required to develop an integrated global manufacturing and distribution plan. In this paper, we discuss and formulate a model that yields profit maximizing global production and distribution plans. We discuss the managerial implications of our results, and the potential applications and benefits of the model.

This paper presents a deterministic approach to schedule patients in an ambulatory surgical center (ASC) such that the number of postanesthesia care unit nurses at the center is minimized. We formulate the patient scheduling problem as new variants of the no-wait, two-stage process shop scheduling problem and present computational complexity results for the new scheduling models. Also, we develop a tabu search-based heuristic algorithm to solve the patient scheduling problem. Our algorithm is shown to be very effective in finding near optimal schedules on a set of real data from a university hospital's ASC.

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