Production to Order: Models and Rules for Production Planning
In this book, production rules are studied for situations which share some important elements. The most important one is that the products are manufactured according to customer specifications and they will not be manufactured unless they have been ordered. Other elements are the set-ups on the mach...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1989
|
Ausgabe: | 1st ed. 1989 |
Schriftenreihe: | Lecture Notes in Economics and Mathematical Systems
333 |
Schlagworte: | |
Online-Zugang: | BTU01 URL des Erstveröffentlichers |
Zusammenfassung: | In this book, production rules are studied for situations which share some important elements. The most important one is that the products are manufactured according to customer specifications and they will not be manufactured unless they have been ordered. Other elements are the set-ups on the machines, which make a clustering of orders necessary, the backlogging of late orders, a production process with one bottle-neck and a stochastic demand. The purpose is to find a simple production rule, which offers possibilities for a simple adaptation to the varying wishes or to additional complications. The production rules under consideration are well-known heuristics such as the Silver-Meal heuristic and the Wagner-Whitin heuristic, which can be adapted for backlogging and for the stochastic demand. Also a new, simple rule is introduced: the (x,T)-rule. To determine and compare the performance of the production rules different techniques have been used, such as simulation, dynamic programming and markovian models. Among the situations that have been considered are situations with capacity restrictions, overtime possibilities and situations where the clients react to the performance of their orders |
Beschreibung: | 1 Online-Ressource (VII, 158 p) |
ISBN: | 9783642466724 |
DOI: | 10.1007/978-3-642-46672-4 |
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Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
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author | Dellaert, Nico |
author_facet | Dellaert, Nico |
author_role | aut |
author_sort | Dellaert, Nico |
author_variant | n d nd |
building | Verbundindex |
bvnumber | BV046871674 |
classification_rvk | QP 542 SI 853 ZM 9220 |
collection | ZDB-2-SBE ZDB-2-BAE |
ctrlnum | (ZDB-2-SBE)978-3-642-46672-4 (OCoLC)863960053 (DE-599)BVBBV046871674 |
dewey-full | 658.5 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.5 |
dewey-search | 658.5 |
dewey-sort | 3658.5 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Mathematik Werkstoffwissenschaften / Fertigungstechnik Wirtschaftswissenschaften |
discipline_str_mv | Mathematik Werkstoffwissenschaften / Fertigungstechnik Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-3-642-46672-4 |
edition | 1st ed. 1989 |
format | Electronic eBook |
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isbn | 9783642466724 |
language | English |
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spelling | Dellaert, Nico Verfasser aut Production to Order Models and Rules for Production Planning by Nico Dellaert 1st ed. 1989 Berlin, Heidelberg Springer Berlin Heidelberg 1989 1 Online-Ressource (VII, 158 p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Economics and Mathematical Systems 333 In this book, production rules are studied for situations which share some important elements. The most important one is that the products are manufactured according to customer specifications and they will not be manufactured unless they have been ordered. Other elements are the set-ups on the machines, which make a clustering of orders necessary, the backlogging of late orders, a production process with one bottle-neck and a stochastic demand. The purpose is to find a simple production rule, which offers possibilities for a simple adaptation to the varying wishes or to additional complications. The production rules under consideration are well-known heuristics such as the Silver-Meal heuristic and the Wagner-Whitin heuristic, which can be adapted for backlogging and for the stochastic demand. Also a new, simple rule is introduced: the (x,T)-rule. To determine and compare the performance of the production rules different techniques have been used, such as simulation, dynamic programming and markovian models. Among the situations that have been considered are situations with capacity restrictions, overtime possibilities and situations where the clients react to the performance of their orders Operations Management Industrial and Production Engineering Organization Production management Industrial engineering Production engineering Planning Just-in-time-Produktion (DE-588)4140040-9 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf Produktionsplanung (DE-588)4047360-0 gnd rswk-swf Lieferzeit (DE-588)4035680-2 gnd rswk-swf Auftragsfertigung (DE-588)4003563-3 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Produktionsplanung (DE-588)4047360-0 s Lieferzeit (DE-588)4035680-2 s Auftragsfertigung (DE-588)4003563-3 s DE-604 Just-in-time-Produktion (DE-588)4140040-9 s Modell (DE-588)4039798-1 s Mathematisches Modell (DE-588)4114528-8 s Erscheint auch als Druck-Ausgabe 9783540513094 Erscheint auch als Druck-Ausgabe 9783642466731 https://doi.org/10.1007/978-3-642-46672-4 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Dellaert, Nico Production to Order Models and Rules for Production Planning Operations Management Industrial and Production Engineering Organization Production management Industrial engineering Production engineering Planning Just-in-time-Produktion (DE-588)4140040-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd Modell (DE-588)4039798-1 gnd Produktionsplanung (DE-588)4047360-0 gnd Lieferzeit (DE-588)4035680-2 gnd Auftragsfertigung (DE-588)4003563-3 gnd |
subject_GND | (DE-588)4140040-9 (DE-588)4114528-8 (DE-588)4039798-1 (DE-588)4047360-0 (DE-588)4035680-2 (DE-588)4003563-3 (DE-588)4113937-9 |
title | Production to Order Models and Rules for Production Planning |
title_auth | Production to Order Models and Rules for Production Planning |
title_exact_search | Production to Order Models and Rules for Production Planning |
title_exact_search_txtP | Production to Order Models and Rules for Production Planning |
title_full | Production to Order Models and Rules for Production Planning by Nico Dellaert |
title_fullStr | Production to Order Models and Rules for Production Planning by Nico Dellaert |
title_full_unstemmed | Production to Order Models and Rules for Production Planning by Nico Dellaert |
title_short | Production to Order |
title_sort | production to order models and rules for production planning |
title_sub | Models and Rules for Production Planning |
topic | Operations Management Industrial and Production Engineering Organization Production management Industrial engineering Production engineering Planning Just-in-time-Produktion (DE-588)4140040-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd Modell (DE-588)4039798-1 gnd Produktionsplanung (DE-588)4047360-0 gnd Lieferzeit (DE-588)4035680-2 gnd Auftragsfertigung (DE-588)4003563-3 gnd |
topic_facet | Operations Management Industrial and Production Engineering Organization Production management Industrial engineering Production engineering Planning Just-in-time-Produktion Mathematisches Modell Modell Produktionsplanung Lieferzeit Auftragsfertigung Hochschulschrift |
url | https://doi.org/10.1007/978-3-642-46672-4 |
work_keys_str_mv | AT dellaertnico productiontoordermodelsandrulesforproductionplanning |