seminar operations and supply chain management€¦ · seminar operations and supply chain...

TUM School of Management Technische Universität München

Seminar

Operations and Supply Chain Management

Summer 2014


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


• Read and understand recent research contributions in the field of product variety management




• Write a paper



Deliverables






• Write a paper


•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.


Content of the seminar paper






• Write a paper


• 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


Guidelines






• Write a paper


• 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


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)


Retail operations






• Write a paper


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


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

http://cms.ieis.tue.nl/Beta/Files/WorkingPapers/wp_421.pdf


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


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


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


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


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


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


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


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


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)


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.


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)


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


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



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



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


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.


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



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



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


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


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

seminar operations and supply chain management€¦ · seminar operations and supply chain...

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