seminar operations and supply chain management€¦ · seminar operations and supply chain...
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TUM School of Management Technische Universität München
Seminar
Operations and Supply Chain Management
Summer 2014
TUM School of Management Technische Universität München
Objective
• Skills and tools for a successful master thesis project
• Read and understand recent research contributions in the field of service parts supply chain management
• Do own literature research on the assigned topic
• Structure the material
• Pursue interesting research questions
• Write a paper
• Present paper and defend in a discussion
• Skills and tools for a successful master thesis project
• Read and understand recent research contributions in the field of product variety management
• Do own literature research on the assigned topic
• Structure the material
• Pursue interesting research questions
• Write a paper
• Present paper and defend in a discussion
TUM School of Management Technische Universität München
Deliverables
• Skills and tools for a successful master thesis project
• Read and understand recent research contributions in the field of service parts supply chain management
• Do own literature research on the assigned topic
• Structure the material
• Pursue interesting research questions
• Write a paper
• Present paper and defend in a discussion
•To be submitted to: [email protected]•Outline and table of contents, due: April,22nd, 2014•First results on research question: May, 20th, 2014•15-20 pages paper (pdf-Format): June, 16th, 2014•Presentations (30 min+15 min discussion): June, 26th
and 27th, 2014•Discussant: Each participant will be assigned as a discussant to another presentation
– Wrap-up the presentation– Moderate the discussion.
TUM School of Management Technische Universität München
Content of the seminar paper
• Skills and tools for a successful master thesis project
• Read and understand recent research contributions in the field of service parts supply chain management
• Do own literature research on the assigned topic
• Structure the material
• Pursue interesting research questions
• Write a paper
• Present paper and defend in a discussion
• Introduction
• Motivation of the relevance of the problem
• Basics and Literature
• Definitions, concepts
• Overview on existing contributions
• Research question
• Use examples and/or real data
• Use methods learned in the specialization
• Forecasting, inventory management, network design, LP, simulation
• Make recommendations to answer the research question
• Conclusion and Outlook
TUM School of Management Technische Universität München
Guidelines
• Skills and tools for a successful master thesis project
• Read and understand recent research contributions in the field of service parts supply chain management
• Do own literature research on the assigned topic
• Structure the material
• Pursue interesting research questions
• Write a paper
• Present paper and defend in a discussion
• Paper and formating guidelines: www.log.wi.tum.de
• Literature search:
– Library: Databases on scientific literature
– Internet
• www.sciencedirect.com
• www.jstor.org
• … many more
• Citations and scientific code of conduct
TUM School of Management Technische Universität München
Seminar topicsCover the research and potential Master thesis topics with the Logistics and Supply Chain Management group
Inventory Management
•Retail (Topics 1-6)
•Service Parts (Topics 7-11)
•Dual Sourcing Strategies (Topics 12-14)
•Production planning and lot-sizing (Topics 15-20)
•Financial and behavioral models (Topics 21-23)
Transportation Management (Topics 24-31)
Supply Chain Design (Topics 32-36)
Resources and Energy Storage (Topics 37-40)
TUM School of Management Technische Universität München
Retail operations
• Skills and tools for a successful master thesis project
• Read and understand recent research contributions in the field of service parts supply chain management
• Do own literature research on the assigned topic
• Structure the material
• Pursue interesting research questions
• Write a paper
• Present paper and defend in a discussion
1) Standard mixed loads
Teulings, M., & Vlist, P. van der. (2001). Managing the supply chain with standard mixed loads. International Journal of Physical Distribution & Logistics Management, 31(3), 169–186.
Task: Explain and discuss the ideas presented Implementation as simulation (by using e.g. AnyLogic ), Numerical Example
2) Rationing in multi-echelon inventory systems
Lagodimos, a. G., & Koukoumialos, S. (2008). Service performance of two-echelon supply chains under linear rationing. International Journal of Production Economics, 112(2), 869–884.
Task: Explain and discuss the rationing models Simulation of rationing models & existing LP implementation of myopic optimization model of chair (by using e.g. AnyLogic ), Numerical Example & comparison
TUM School of Management Technische Universität München
3) The backroom effect in retail operations
Eroglu, C., Williams, B. D., & Waller, M. a. (2013). The Backroom Effect in Retail Operations. Production and Operations Management, 22(4), 915–923.
Task: Explain and discuss the model, Implementation as simulation (by using e.g. AnyLogic), Numerical Example
4)Lost sales inventory models with batch ordering and handling costs
Woensel, T. Van, Erkip, N., Curseu, A., & Fransoo, J. C. (2013). Lost Sales Inventory Models with Batch Ordering and Handling Costs. Beta Working Paper Series, 421. Retrieved from http://cms.ieis.tue.nl/Beta/Files/WorkingPapers/wp_421.pdf
Task: Explain and discuss the model, Implementation via Dynamic Programming (by using e.g. Matlab), Numerical Example
TUM School of Management Technische Universität München
5) Reverse logistics: handling of merchandise returns
Mostard, J., Teunter, R.H., The newsboy problem with resalable returns: A single period model and case study, European Journal of Operational Research 169(1)
Task: Literature review, empirical examples, application of the model
6) The effect of promotions in retail – comparing the marketing and the operations perspective
Gao, J.-J., A joint decision model of inventory control and promotion optimization based on demand forecasting
Task: how to forecast demand for promotional products (impact of foreward buying), comparison of forecasting techniques, simulation of inventory impact
TUM School of Management Technische Universität München
Service parts management
7) Generating Non-Homogeneous Poisson Processes
Pasupathy, R. (2010). Generating Non-Homogeneous Poisson Processes. Wiley Encyclopedia of Operations Research and Management Science.
Task: Implementation of nine short algorithms for generating non-homogeneous Poisson distributed random variables and their comparison
8) Estimating Non-Homogeneous Poisson Processes
Zhao, M., and M. Xie (1996). On maximum likelihood estimation for a general non-homogeneous Poisson process. Scandinavian journal of statistics 23(4): 597-607.
Task: Estimation of parameters from real data for spare parts management applications
TUM School of Management Technische Universität München
9) Strategic inventory placement in supply chains: nonstationary demand
Graves, S.C., and S.P. Willems (2008). Strategic inventory placement in supply chains: nonstationary demand. Manufacturing & Service Operations Management 10(2): 278-287.
Task: Summary, review of related work and implementation of examples
TUM School of Management Technische Universität München
10) When is it feasible to model low discrete demand by a normal distribution?
Axsäter, S. (2013). When is it feasible to model low discrete demand by a normal distribution? OR Spectrum 35(1): 153-162.
Task: Summary and numerical study
11) The final order problem
Cattani, K. and G. Souza (2003), "Good Buy? Delaying End–of–Life Purchases", European Journal of Operational Research, Vol. 146, No.1
Task: Implenetation of model and extension to life-cycle demand patterns
TUM School of Management Technische Universität München
Dual sourcing strategies
12) Integrated safety stock optimization for multiple sourced stockpoints facing variable demand and lead time
Osman, H., Demirli, K. (2012), Integrated safety stock optimization for multiple sourced stockpoints facing variable demand and lead time, Int. J. of Production Economics 135(2012): 299–307
Task: Overview of differences between decentralized (SPP) and consolidation (SCC) model, fill rate comparison by simulation study
TUM School of Management Technische Universität München
13) Analysis of a two-echelon inventory system with two supply modes
Arts, J., Kiesmüller, G., P. (2013), Analysis of a two-echelon inventory system with two supply modes, European Journal of Operational Research 225(2013): 263-272
Task: Review of related work, Implementation of algorithm
14) Dual index policies for dual sourcing
Veeraraghavan, S., Scheller-Wolf, A. (2008), Now or Later: A Simple Policy for Effective Dual Sourcing in Capacitated Systems, Operations Research 56 (4): 850 - 864.
Task: Comparison to state-dependent policy, Interpretation of simulation study
TUM School of Management Technische Universität München
15) Quantity discounts in Supplier selection
Stadtler, H. (2007), A general quantity discount and supplier selection mixed integer programming model, OR Spectrum 29: 723-744
Task: Implementing in Mosel XPRESS, Validating by numerical results
16) Optimal initial and final inventory level in rolling horizon planning
Stadtler, H. (2000), Improved Rolling Schedules for the Dynamic Single-Level Lot-Sizing Problem, Management Science 46: 318-326
Task: Implementing in Mosel XPRESS, Validating by a case study from industry
Production planning, lot-sizing and scheduling
TUM School of Management Technische Universität München
17) Lot-sizing and dynamic safety stocks
Helber, S., Sahling, F., Schimmelpfeng, K. (2013) , Dynamic capacitated lot sizing with random demand and dynamic safety stocks, OR Spectrum 35: 75-105
Task: Implementing in Mosel XPRESS, Validating by a case study from industry
18) Integrating lot-sizing and scheduling
Fleischmann, B., Meyr, H. (1997), The general lotsizing and scheduling problem, OR Spektrum 19 : 11-21
Task: Implementing in Mosel XPRESS, Validating by numerical test
TUM School of Management Technische Universität München
19) Bilevel lot-sizing
Kis, T., Kovács, A. (2013), Exact solution approaches for bilevel lot-sizing, European Journal of Operational Research, 226(2):237-245
Tasks: Implementation and numerical study
20) Quoting manufacturing due dates subject to a service level constraint
Hopp, W. J., Roof Sturgis, M. L. (2000), Quoting manufacturing due dates subject to a service level constraint., IIE Transactions 32: 771-784
Tasks: Review of related work, Conduct a simulation study to investigate due date setting methods to meet different constraints (by using e.g. AnyLogic Simulation Software)
TUM School of Management Technische Universität München
Empirical and behavioral models21) Measuring the stock market reaction to events
regarding Sustainable Supply Chain Management
Hendricks, K.B., Singhal, V.R., Zhang, R. (2009): The effect of operational slack, diversification, and vertical relatedness on the stock market reaction to supplychain disruptions, Journal of Operations Management 27(3): 233-246.
Tasks: Investigating the impact of events on stock price (Software will beprovided); Access to financial database will be provided.
22) Investigating the relation between corporate capabilities
and inventory efficiency
Mishra, S., Modi, S.B., Animesh, A. (2013): The relationship between informationtechnology capability, inventory efficiency, and shareholder wealth: A firm-level empirical analysis, Journal of Operations Management 31(6): 298-312.
Tasks: Investigating the impact of capabilities. Access to financial database will be provided.
TUM School of Management Technische Universität München
23) Designing behavorial experiments with newsvendor
Vericourt, F. de, Jain, K., Bearden, J.N., Filipowicz (2013): Sex, risk and the newsvendor, Journal of Operations Management 31(1): 86-92.
Task: Explain the study design and discuss ideas further development ideas, (e.g., regarding risks, personality traits)
TUM School of Management Technische Universität München
Transportation logistics24) Game theory in transportation
Hollander, Y., Prashker, J.N. (2006), The applicability of non-cooperative game theory in transport analysis, Transportation 33: 481-496.
Tasks: Review, Examples, Models
25) Freight consolidation and cost allocation
Özener, O.Ö., Ergun, Ö. (2014), Allocating costs in collaborative transportation procurement network, Working paper
Tasks: Application and implementation, comparison of different cost allocation schemes
TUM School of Management Technische Universität München
26) Probabilistic TSP with time windows
Voccia, S.A., Campbell, A.M. Thomas, B.W. (2013), The probabilistic traveling salesman problem with time windows, EURO Journal on Transportation and Logistics 2: 89-107.
Task: Application and implementation
27) Inventory routing with transshipment
Coelho, L., Cordeau, J.-F., Laporte, G. (2012), The inventory-routing problem with transshipment, Computers & Operations Research, 39(11):2537-2548
Tasks: Implementation and numerical study
TUM School of Management Technische Universität München
28) Empty container repositioning
Shintani, K., Imai, A., Nishimura, E., Papadimitriou, S., (2007), The container shipping network design problem with empty container repositioning, Transportation Research Part E 43: 39-59
Tasks: Implementation and own examples
29) Dynamic traffic assignment
Waller, S.T., Ziliaskopoulos, A. K. (2006), A Chance-constrained based stochastic dynamic traffic assignment model: Analysis, formulation and solution algorithms, Transportation Research Part C: Emerging Technologies, 14(6): 418-427
Tasks: Implementation and numerical study
TUM School of Management Technische Universität München
30) System dynamics modeling in transportation
Abbas, K.A. (1994), System dynamics applicability to transportation modeling, Transportation Research Part A: Policy and Practice, 28(5): 373-390
Task: review literature, implementation in Anylogic, own examples and numerical investigation
31) System dynamics in urban transportation
Wang, J., Lu, H., Peng, H. (2008), System Dynamics Model of Urban Transportation System and Its Application, Journal of Transportation Systems Engineering and Information Technology 8(3): 83-89.
Task: review literature, implementation in Anylogic, own examples and numerical investigation
TUM School of Management Technische Universität München
Supply chain design32) Dynamic supply chain design with inventory
Yanda, H., Kalcsics, J., Nickel, S., Puerto, J., Velten, S. (2008), Dynamic supply chain design with inventory, Computers & Operations Research 35(2): 373-391.
Tasks: Implementation and numerical study
33) The design of supply networks under maximum customer order lead times
Meisel, F., Rei, W., Gendreau, M., Bierwirth, C. (2011), The Design of Supply Networks Under Maximum Customer Order Lead Times, CIRRELT
Tasks: Implementation and numerical study
TUM School of Management Technische Universität München
34) Hazmat network design
Marcotte, P., Mercier, A., Savard, G., Verter, V. (2009), Toll policies for mitigating hazardous materials transport risk, Transportation Science, 43(2):228-243
Tasks: Implementation and numerical study
TUM School of Management Technische Universität München
35) Tax optimized supply chains with transfer prices
Shunko, M., Debo, L., Gavirneni, S. (2014), Transfer Pricing andSourcing Strategies for Multinational Firms, forthcoming in Productionand Operations Management
Task: review literature, implementation of a MIP model in XPRESS
36) Tax optimized supply chains and coordination
Huh, W.T., Park, K.S., Impact of transfer pricing methods for taxpurposes on supply chain performance under demand uncertainty, Working paper
http://www.business.kaist.ac.kr/faculty/kunsoo/tp_huhpark2013.pdf
Task: review literature and investigate extensions
TUM School of Management Technische Universität München
Resources and energy37) Optimal inventory policies when purchase price and demand are stochastic
Berling, P., Martínez-de-Albéniz, V. (2011), Optimal Inventory Policies when Purchase Price and Demand are Stochastic, Operations Research 59(1): 109-124
Tasks: Implementation of method (or heuristics) and examples for different commodities
38) Supply chain risk management in rare earth procurement
Humphries, M. (2013), Rare Earth Elements: The Global Supply Chain, Congressional Research Service
Tasks: application of SCRM concepts to rare-earth problem, building a simulation model
TUM School of Management Technische Universität München
39) A system dynamics model for energy storage
Ford, A. (2013), Simulating the Value of Advanced Electricity Storage, Working paper Washington State University
Task: Implementation in Anylogic
40) Optimizing trading decisions for hydro storage systems using Approximate Dual Dynamic Programming
Löhndorf, N., Wozabal, D., Minner, S. (2013), Optimizing Trading Decisions for Hydro Storage Systems using Approximate Dual Dynamic Programming, Operations Research 61(4): 810-823
Task: Review of literature on energy storage and combination withinventory control