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- Hilletofth, Per
(författare)
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Differentiated Supply Chain Strategy - Building Knowledge through Case Studies
- 2008
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Ingår i: Fourth International Railway Logistics Seminar. - Kouvola, Finland : Lappeenranta University of Technology. - 9789522146014 ; , s. 5-28, s. 5-28, s. 5-28
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Nowadays companies usually offer a wide range of products and services in various types of non-coherent business environments. It is becoming apparent that traditional ‘one-size-fits-all’ supply chain strategies does not support a wide range of products sold in a diversity of markets. Consequently, it becomes increasingly necessary to employ different manufacturing and delivery strategies concurrently in order to develop a differentiated supply chain strategy. This paper employs a descriptive multiple case study approach to illustrate how two companies has develop a differentiated supply chain strategy. Case study findings reveal that one efficient method to develop a differentiated supply chain strategy is to combine different manufacturing and delivery strategies into various supply chain solutions. By combining relatively few strategies it is possible to develop several differentiated supply chain solutions.
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| 2. |
- Hilletofth, Per
(författare)
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Enterprise resource planning systems in higher education
- 2008
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Ingår i: Proceedings of the 4th Railway logistics Seminar. - Kouvola, Finland : Lappeenranta University of Technology. ; , s. 167-180, s. 167-180, s. 167-180
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Konferensbidrag (refereegranskat)abstract
- Information systems and technology are becoming more and more important in the industry. Consequently, it is important to include these in any modern logistics education. This paper describes how ERP-systems are utilized in logistics education programs and courses at University of Skövde (Sweden). The objective of this paper is to highlight the importance of information systems and technology in a modern logistics education.
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| 3. |
- Saranen, Juha, et al.
(författare)
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Modelling Stochastic Elements in Transportation System Simulation : Evidence from Four Projects
- 2008
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Ingår i: Fourth International Railway Logistics Seminar. - : Lappeenranta University of Technology. - 9789522146014 ; , s. 53-76
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Konferensbidrag (refereegranskat)abstract
- Discrete event system simulation is often seen as a genuine tool to investigate the performance of transportation systems. The complexity of real-world systems often prevents us from accurately describing these by a mathematical model that can be evaluated analytically, thus, simulation is often the only realistic alternative. Another advantage of the simulation is the ability to include statistical analysis for different simulation scenarios.In this paper we discuss the main problems concerning the modelling of transportation systems. Well-known approaches of incorporating uncertainty into models include trace driven simulations and sampling directly from gathered data (this latter could also be presented by a fitting statistical distribution). Another aspect to be taken into account is the economics of simulation modelling; a more detailed model requires additional building time, and proper treatment of stochastic models requires statistical analysis, which again usually implies several simulation runs. From this outset the following question arises: Should stochastic behaviour be included in transportation simulation models in the first place at all?We present real case examples including evaluation of a railway transportation concept, capacity analysis of an automatic guided vehicle system, CBA of a railway network investment and evaluation of different multipurpose railway wagons, where stochastic behaviour is dealt with in different ways. Based on the cases we make an initial attempt to formulate framework for deciding how to include stochastic behaviour in the simulation model. We stress that the metrics used to evaluate system performance should be included in the framework. For further research topics we suggest formulating explicit guidelines to deal with stochastics to increase the efficiency of model building.
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