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| LOGI0010-1 | Supply Chain Management
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| Duration : | 45h Th |
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| Number of credits : |
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| Lecturer : | Yasemin Arda |
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Language(s) of instruction :
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| English language |
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Organisation and examination :
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| Teaching in the second semester |
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Course contents :
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| Interest in supply chain management, both in industry and in academia, has grown rapidly over the past several years, and continues to grow. A number of forces have contributed to this trend: the severe competition in today's global markets, the increasing variety of products, the products with shorter and shorter life cycles, the heightened expectations of customers, etc. Many of the companies facing these difficulties have discovered the magnitude of savings that can be achieved through effective supply chain management practices. Supply chain management is defined as a set of approaches utilized to efficiently coordinate all the organizational units along a supply chain in order to improve the competitiveness of a supply chain as a whole. Logistics management is that part of supply chain management that plans, implements, and controls the effective flow and storage of goods, services, and related information in order to meet customer requirements. This course treats the fundamental topics of logistics and supply chain management: supply chain network design, distribution strategies in supply chains, production process design and facility layout, aggregate production planning, managing inventories in supply chains, master production scheduling and material requirements planning, value of information in supply chains (bullwhip effect). |
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Learning outcomes of the course :
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| Intended key learning outcomes:
- Knowing and understanding the basic theories and principles governing the main functions of a firm.
- Being able to use accounting, mathematical, statistical and IT tools to solve a management problem.
- Being able to conduct research autonomously and methodically to obtain, the information needed to solve this problem using a critical approach.
- Being able to work within a team.
Specific learning outcomes of the course:
- Acquire a basic knowledge about strategic, tactical, and operational problems of supply chain management.
- Understand the effects of supply chain management decisions on a firm's performance.
- Understand the difficulties of supply chain management.
- Acquire a basic knowledge about the quantitative methods and techniques of decision aid used in supply chains.
- To be able to solve elementary logistical problems using these techniques.
- To be able to recognize the situations where these techniques can be used as decision making tools and to interpret correctly the conclusions which can be derived using these techniques.
- Understand the limitations of these techniques.
- To be able to use tools like AIMMS and Excel to treat logistical problems.
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Basic notions of mathematics, statistics, and operations research models |
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Planned learning activities and teaching methods :
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| Lectures
Discussions
Exercise sessions: Computer lab sessions are organized to present how to use AIMMS for modeling exercises and Excel for simulation exercises. These sessions are organized to assist students in their group projects. Classical exercise sessions are organized to prepare students to the written exam. The students are also provided with some numerical exercises and their solutions through the virtual campus Lo@ as the chapters are treated during the semester.
Invited speakers: A session is devoted to the presentations of invited speakers working in supply chain management related domains. The aim of the session is to inform students about the carrier opportunities and the responsibilities of supply chain specialists.
Simulation game: A special computer lab session is organized to play the "Wood Supply Game" which is designed to make students aware of the dynamics of supply chains and to illustrate the bullwhip effect.
Group projects: The students are wanted to solve realistic logistical problems (which are by definition more challenging than the exercises studied during the course) using quantitative methods and techniques of decision making and tools like AIMMS and Excel. |
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Mode of delivery (face-to-face ; distance-learning) :
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Recommended or required readings :
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| Documents that can be found on the virtual campus Lol@:
1. Syllabus: The course notes and the PowerPoint presentations used during the lectures can be found on the virtual campus Lola@. The students are wanted to be in possession of these documents during the lectures.
2. Exercises: Students are provided with some numerical exercises, their solutions, and multiple choice tests that they can use to practice their knowledge and to prepare themselves for the written exam as the chapters are treated during the semester.
Recommended references :
[1] Simchi-Levi D., Kaminsky P. and E. Simchi-Levi, Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies, McGraw-Hill, 2nd edition, Boston, 2003.
[2] Chopra S. and P. Meindl, Supply Chain Management: Strategy, Planning and Operation, Printice Hall, 3rd edition, New Jersey, 2007. |
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Assessment methods and criteria :
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| Group projects (~15%): Group projects are prepared in groups of 2 or 3 students. For the second session, if the concerned student wants to resubmit a project (alone this time), he/she has to contact the professor. If such a request is not received until an acceptable date, the project grade obtained in the first session is automatically taken into account to calculate the second session grade of the course.
Written exam (~85%): The questions asked in the first part of the exam are similar to the numerical exercises studied during the course. The second part is composed of 10 multiple choice theoretical questions. In the second session, an oral exam can be organized instead of a written one, depending on the number of students. |
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Work placement(s) :
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Organizational remarks :
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| The course is given during the second semester.
The course is given in English. |
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Contacts :
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| Lecturer:
Yasemin ARDA
(yasemin.arda@ulg.ac.be)
Assistants:
Guillaume AMAND
(guillaume.amand@ulg.ac.be)
Thierry PIRONET
(thierry.pironet@ulg.ac.be) |
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