Philippe Wieser

Biography

Philippe Wieser obtained his diploma of engineer in mechanics at the EPFL in 1977 and he received his PhD in 1981.

After a few years working in a engineering consulting company, he joined the EPFL as lecturer. His fields of research and teaching deal with logistics, supply chain management, information systems and integrated logistics, health supply chain and project management.

Since May 2000, Philippe Wieser is the executive director of IML: International Institute for the Management of Logistics (EPFL - Lausanne and ENPC - Paris).

In 2008 he was appointed Professeur titulaire at EPFL.

Philippe Wieser teaches in EPFL-Lausanne (Minor, Master and Executive Master MSL), ENPC-Paris (Executive Master) and other European and African Universities.

He is author or co-author of more than ninety publications and international conferences.

Official source

https://people.epfl.ch/philippe.wieser

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In this article, the design of a quality control network is considered in an entire supply chain, in the context of an international food and beverage company, denoted as ABC. For each possible control point of the network, two decisions have to be made: (1) establish a monitoring activity or not; (2) if a monitoring activity is placed, determine its acceptance level with a well-adjusted sampling plan. The objective function to minimize consists of a weighted sum of two conflicting components, namely risk (of having bad units) and processing time (to control the product batch itself). Indeed, for each control point, an accurate monitoring activity reduces risk but augments processing time. Each monitoring activity has a specific cost (if selected) and a budget constraint has to be satisfied for the entire network. Various solutions methods are proposed to tackle this NP-hard problem, ranging from a basic greedy heuristic to advanced metaheuristics involving tabu search as an internal procedure. CPLEX can be used for very small instances (with less than 20 control points), for which a basic tabu search can obtain similar results much quicker (in a fraction of second). The experiments for larger instances highlight the importance of having a good control (in terms of the involved search trajectory in the solution space) on the search process, as the methods with well-tuned diversification mechanisms perform best.

TAYLOR & FRANCIS INC2020

Optimizing the trade-off between performance measures and operational risk in a food supply chain environment

Simone Lydia Voldrich, Philippe Wieser, Nicolas Zufferey

In the context of a growing world population and the need to use limited resources responsibly, this study is motivated by the increasing pressures on the food industry, which include issues of food security, safety, and waste. In the context of a global food supply chain, we combine processing time and cost (PT&C) with operational risk (ORk) in a novel integrated approach to designing and optimizing monitoring systems. This study of a flagship product widely consumed around the world provides quantitative analysis and results based on real-world data from an international food company. The findings indicate that our multi-objective methodology provides quantitative insights into-and is capable of quantifying-an unexpected nonlinear relationship between PT&C and ORk. We show numerically how to decrease PT&C significantly by means of a minor increase in ORk, an outcome which is highly appealing for the industry. In addition, we provide accurate measurements of the impact of each individual monitoring activity, which allows the identification of the monitoring activities that are most critical. Generalizable insights for practitioners are derived from a step-by-step optimization of the entire monitoring system.

SPRINGER2020

Competitive and timely food supply combined with operational risk

Simone Lydia Voldrich, Philippe Wieser, Nicolas Zufferey

2017