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Evaluation of a new type of sequentiallot sizing techniques
Luleå tekniska universitet.
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.
1990 (engelsk)Inngår i: Engineering Costs and Production Economics, ISSN 0167-188X, E-ISSN 1878-4011, Vol. 19, nr 1-3, s. 281-286Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The classical dynamic lot size problem without backlogging is usually solved with the aid of various heuristics. Most heuristics are sequential, i.e. the demand is considered period for period, and a decision whether to include the demand in a certain period in the preceding batch is taken without regarding the future demand. Recently, it has been shown how to design a sequential lot sizing rule that will optimize the average performance, provided that a typical demand looks like a sequence of independent and identically distributed random numbers. The purpose of this paper is to evaluate if and how this methodology can be implemented in practice. The new lot sizing techniques are evaluated in a simulation study for different types of demand.

sted, utgiver, år, opplag, sider
1990. Vol. 19, nr 1-3, s. 281-286
HSV kategori
Forskningsprogram
Industriell logistik
Identifikatorer
URN: urn:nbn:se:ltu:diva-66238OAI: oai:DiVA.org:ltu-66238DiVA, id: diva2:1152279
Tilgjengelig fra: 2017-10-24 Laget: 2017-10-24 Sist oppdatert: 2017-11-24bibliografisk kontrollert
Inngår i avhandling
1. Heuristic Mathematical Programming Methods for Lot-sizing, Inventory Control, and Distribution Cost Estimation in the Supply Chain
Åpne denne publikasjonen i ny fane eller vindu >>Heuristic Mathematical Programming Methods for Lot-sizing, Inventory Control, and Distribution Cost Estimation in the Supply Chain
2017 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Alternativ tittel[en]
Abstract [en]

The supply function has an important role to support the business to create a customer value. Two important parts of this process is to have the warehouses and production sites in the right location and to have the right items stocked at the right level.

 

This thesis is concerned with those two parts of the supply chain management.

Three different areas of inventory control are dealt with. In the first part we consider the classical dynamic lot size problem without backlogging. The second part deals with estimation of holding and shortage costs in two-level distribution inventory systems. In the third part of the thesis we consider the localisation problem in a multi-level supply network system where items are consolidated at a warehouse and distributed to customers on routes.

 

Within the area of inventory control we have evaluated a method earlier suggested by Axsäter (1988), the method is evaluated using a set of test problems and compared other heuristic methods, including the well-known Silver-Meal’s method (Silver and Meal, 1973).  The result shows that the method suggested by Axsäter does perform better than the other methods. In the latest contribution we point to the important differences between Least Period Cost and Silver-Meal when several periods have zero demand. In the area of inventory control we have also studied a two-echelon inventory system where we present methods for estimating the shortage- and stockholding costs in such inventory systems.

 

The second part subject of the thesis concerns supply network optimization. We present a MIP formulation of the problem and evaluate in detail the approximation of the distribution cost when customers are delivered on multi-stop routes. An improved method for estimating the distribution is presented.

 

Besides this introductory overview five research papers are included in the thesis. The first and the last paper consider evaluation of dynamic lot sizing heuristics. The second and third paper deals with cost evaluation of a stochastic two-echelon inventory system and the forth paper with evaluation of methods for estimating distribution costs in a supply network.

sted, utgiver, år, opplag, sider
Luleå: Luleå University of Technology, 2017
Serie
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Emneord
Dynamic lot size, Multi-echelon inventory systems, Supply network optimization, Distribution, Location analysis, Distribution cost approximation
HSV kategori
Forskningsprogram
Industriell logistik
Identifikatorer
urn:nbn:se:ltu:diva-66246 (URN)978-91-7583-994-3 (ISBN)978-91-7583-995-0 (ISBN)
Disputas
2017-12-07, A3024, Luleå, 10:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2017-10-25 Laget: 2017-10-25 Sist oppdatert: 2019-09-11bibliografisk kontrollert

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