Y
Youssef Boulaksil
Researcher at United Arab Emirates University
Publications - 34
Citations - 578
Youssef Boulaksil is an academic researcher from United Arab Emirates University. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 11, co-authored 26 publications receiving 447 citations. Previous affiliations of Youssef Boulaksil include Eindhoven University of Technology.
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Capacity flexibility allocation in an outsourced supply chain with reservation
TL;DR: A contract manufacturer that serves a limited number of outsourcers (customers) on a single capacitated production line is considered and it is shown that hierarchical integration and anticipation are required, especially for cases with high penalty cost and tight capacities.
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Capacity reservation and utilization for a manufacturer with uncertain capacity and demand
TL;DR: It is shown that a dynamic reservation policy is particularly useful when backorder cost and uncertainty are low, and for the contract manufacturer, to achieve the desired behavior, charging little reservation costs is sufficient.
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Horizontal logistics collaboration: an exploratory study in Morocco’s agri-food supply chains
TL;DR: In this article, the authors reveal the literature does not reveal how horizontal logistics collaboration (HLC) practices have gained much attention in recent years as innovative ways for companies to improve their performance.
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Implications of outsourcing on operations planning: findings from the pharmaceutical industry
Youssef Boulaksil,JC Jan Fransoo +1 more
TL;DR: In this article, a literature review on outsourcing is conducted and two case studies at three pharmaceutical companies are conducted to gather insights into the planning of outsourced operations, and a number of implications of outsourcing at the operational planning level are discussed.
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Setting safety stocks in multi-stage inventory systems under rolling horizon mathematical programming models
TL;DR: The problem of determining safety stocks in multi-item multi-stage inventory systems that face demand uncertainties is addressed by a simulation based approach, where the simulation studies are based on solving the supply chain planning problem (formulated as a mathematical programming model) in a rolling horizon setting.