Setting planned lead times for a make-to-order production system with master schedule smoothing

Autor:	Chee-Chong Teo, Rohit Bhatnagar, Stephen C. Graves
Přispěvatelé:	Nanyang Business School, School of Civil and Environmental Engineering, Singapore-MIT Alliance Programme
Rok vydání:	2011
Předmět:	Schedule Engineering Material requirements planning Operations research Build to order business.industry Engineering::Civil engineering [DRNTU] Industrial and Manufacturing Engineering Production Smoothing Master production schedule Workflow Discrete time and continuous time Make-to-order Production (economics) Operations management business Lead time
Zdroj:	IIE Transactions. 43:399-414
ISSN:	1545-8830 0740-817X
DOI:	10.1080/0740817x.2010.523765
Popis:	This article considers a make-to-order manufacturing environment with fixed guaranteed delivery lead times and multiple product families, each with a stochastic demand process. The primary challenge in this environment is how to meet the quoted delivery times subject to fluctuating workload and capacity limits. The tactical planning parameters are considered, namely, the planning windows and planned lead times. The planning process that is modeled is the one in which the demand represents a dynamic input into the master production schedule. A planning window for each product family controls how the schedule of each product family is translated into a job release. It can be thought of as the slack that exists when the fixed quoted delivery lead time is longer than the total planned production lead time. Furthermore, the planned lead time of each station regulates the workflow within a multi-station shop. The model has underlying discrete time periods to allow the modeling of the planning process that is typically defined in time buckets; within each time period, the intra-period workflow that permits multiple job movements within the time period is modeled. The presented model characterizes key performance measures for the shop as functions of the planning windows and planned lead times. An optimization model is formulated that is able to determine the values of these planning parameters that minimize the relevant production-related costs. Accepted version
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab93ded7035e312070ed249158374714 https://doi.org/10.1080/0740817x.2010.523765 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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