Decision Trees and the Second Law

Drechsler, Frank S.

doi:10.1057/jors.1968.99

Cited by 15 publications

(2 citation statements)

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“…Few researchers in the discipline of industrial engineering have applied classical thermodynamics reasoning to analyzing management systems. For example, the thermodynamic entropy concept has been applied to analyzing decision trees (Drechsler, 1968), manpower systems (Tyler, 1989), logistics management (Whewell, 1997), business process management (Chen, 1999), product life cycle (Tseng, 2004), inventory management (Jaber, Nuwayhid, & Rosen, 2004, price-quality relationship (Nuwayhid, Jaber, Rosen, & Sassine, 2006), and coordinating orders in a supply chain . This paper incorporates the concept of entropy cost developed in Jaber et al (2004) into the EOQ problem with permissible delay in payments, i.e., into the model of Goyal (1985).…”

Section: Introductionmentioning

confidence: 99%

Lot sizing with permissible delay in payments and entropy cost

Jaber

2007

Computers & Industrial Engineering

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Section: Introductionmentioning

confidence: 99%

Lot sizing with permissible delay in payments and entropy cost

Jaber

2007

Computers & Industrial Engineering

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“…Some researchers in the discipline of management science/operational research have applied information theory and entropy approaches to account for disorder when modelling the behaviour of productive systems. However, few have applied classical thermodynamics reasoning to modelling such systems, e.g., [5,6].…”

Section: Introductionmentioning

confidence: 99%

A thermodynamic approach to modelling the economic order quantity

Jaber¹,

Nuwayhid²,

Rosen³

2006

Applied Mathematical Modelling

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Ever since its introduction in the second decade of the past century, the economic order quantity (EOQ) model has been the subject of extensive investigations and extensions by academicians. Although the EOQ formula has been widely used and accepted by many industries, some practitioners have questioned its practical application. Accounting for holding and order/set-up costs, as has traditionally been the case for the economic order quantity, can distort the scenario. There are hidden costs not accounted for when modelling inventory systems. This paper postulates that some of these costs, which we refer to as the entropy costs, may be estimated using the principles of thermodynamics. Firstly, a new mathematical model is developed and considered as an enhancement to the EOQ model. Secondly, the developed model is investigated in a two-level (supplier-retailer) supply chain coordination context. Numerical examples are presented and results discussed.

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