Influence of lot size and planned lead time on service level and inventory for a single stage make-to-order production system with random required lead times.

Translated title of the contribution: Influence of lot size and planned lead time on service level and inventory for a single stage make-to-order production system with random required lead times.

Research output: Contribution to conferencePaperpeer-review

Abstract

In production planning, the decisions on lot size and planned lead time both influence the logistic performance of a production system. These decisions are themselves interrelated since, e.g., higher lot sizes imply a higher processing time of a production lot which influences the production lead time distribution and therefore also the planned lead time setting. Most analytical studies in this field either focus on planned lead time optimization, assuming single item processing or predefined production lot processing distribution, or on the optimization of production lot sizes, neglecting the planned lead time effect. In this paper, an analytical approach to model the influence of the interrelated planning parameters lot size and planned lead time on the key figures service level and inventory is developed for a situation with random customer required lead times. A single-stage make-to-order production system producing different items with item specific lot sizes and planned lead times is investigated. An analytical model approximating this common production lead time distribution by the G/G/1 queuing model is presented which includes the variance impact of the item specific lot sizes.
Translated title of the contributionInfluence of lot size and planned lead time on service level and inventory for a single stage make-to-order production system with random required lead times.
Original languageGerman
Pages1-13
Publication statusPublished - 2014
EventInternational Working Seminar on Production Economics 2014 - Innsbruck, Austria
Duration: 24 Feb 201428 Feb 2014

Conference

ConferenceInternational Working Seminar on Production Economics 2014
Country/TerritoryAustria
CityInnsbruck
Period24.02.201428.02.2014

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