Available-to-promise (ATP) systems: a classification and framework for analysis
Available-to-promise (ATP) systems deal with a number of managerial decisions related to order capture activities in a company, including order acceptance/rejection, due date setting, and resource scheduling. These different but interrelated decisions have often been studied in an isolated manner, a...
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Veröffentlicht in: | International journal of production research 2010-06, Vol.48 (11), p.3079-3103 |
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description | Available-to-promise (ATP) systems deal with a number of managerial decisions related to order capture activities in a company, including order acceptance/rejection, due date setting, and resource scheduling. These different but interrelated decisions have often been studied in an isolated manner, and, to the best of our knowledge, no framework has been presented to integrate them into the broader perspective of order capture. This paper attempts to provide a general framework for ATP-related decisions. By doing so, we: (1) identify the different decision problems to be addressed; (2) present the different literature-based models supporting related decisions into a coherent framework; and (3) review the main contributions in the literature for each one of these. We first describe different approaches for order capture available in the literature, depending on two parameters related to the application context of ATP systems, namely the inclusion of explicit information about due dates in the decision model, and the level of integration among decisions. According to these parameters, up to six approaches for ATP-related decisions are identified. Secondly, we show the subsequent decision problems derived from the different approaches, and describe the main issues and key references involving each one of these decision problems. Finally, a number of conclusions and future research lines are discussed. |
doi_str_mv | 10.1080/00207540902810544 |
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These different but interrelated decisions have often been studied in an isolated manner, and, to the best of our knowledge, no framework has been presented to integrate them into the broader perspective of order capture. This paper attempts to provide a general framework for ATP-related decisions. By doing so, we: (1) identify the different decision problems to be addressed; (2) present the different literature-based models supporting related decisions into a coherent framework; and (3) review the main contributions in the literature for each one of these. We first describe different approaches for order capture available in the literature, depending on two parameters related to the application context of ATP systems, namely the inclusion of explicit information about due dates in the decision model, and the level of integration among decisions. According to these parameters, up to six approaches for ATP-related decisions are identified. 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These different but interrelated decisions have often been studied in an isolated manner, and, to the best of our knowledge, no framework has been presented to integrate them into the broader perspective of order capture. This paper attempts to provide a general framework for ATP-related decisions. By doing so, we: (1) identify the different decision problems to be addressed; (2) present the different literature-based models supporting related decisions into a coherent framework; and (3) review the main contributions in the literature for each one of these. We first describe different approaches for order capture available in the literature, depending on two parameters related to the application context of ATP systems, namely the inclusion of explicit information about due dates in the decision model, and the level of integration among decisions. According to these parameters, up to six approaches for ATP-related decisions are identified. Secondly, we show the subsequent decision problems derived from the different approaches, and describe the main issues and key references involving each one of these decision problems. Finally, a number of conclusions and future research lines are discussed.</description><subject>Applied sciences</subject><subject>ATP</subject><subject>available-to-promise</subject><subject>Classification</subject><subject>Coherence</subject><subject>Deadlines</subject><subject>Decision making models</subject><subject>Decision theory. Utility theory</subject><subject>Decisions</subject><subject>due date management</subject><subject>Due dates</subject><subject>Exact sciences and technology</subject><subject>Integration</subject><subject>Inventory control, production control. Distribution</subject><subject>Mathematical models</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>order capture</subject><subject>Order processing</subject><subject>Production management</subject><subject>Rejection</subject><subject>Resource scheduling</subject><subject>Studies</subject><issn>0020-7543</issn><issn>1366-588X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkU1rFTEUhoMoeK3-AHeDINrFaD4mM4l0cymtFS7URQV34dx8YGpmUnPmVu-_N8OtXVjQbEJOnvcc3vcQ8pLRd4wq-p5STgfZUU25YlR23SOyYqLvW6nU18dktfy3FRBPyTPEa1qPVN2KXK5vISbYJt_Oub0peYzom7frq8_HDe5x9iN-aKCxCRBjiBbmmKcGJteEAqP_mcv3JuRSK5D2GPE5eRIgoX9xdx-RL-dnV6cX7eby46fT9aa1kvG5ha0OslNaSy2dkyKwwKjrLWfWbbmrLxW4ZtZzxb1jDFjHdO87EbxTYSvEETk-9P0GydyUOELZmwzRXKw3Zqkt_miN5pZV9s2BrfZ-7DzOppq0PiWYfN6hGaTopaaDquSrv8jrvCvVGhrOVN93kg8VYgfIloxYfLifz6hZlmEeLKNqXt81BrSQanaTjXgv5HygTKvF1smBi1NNdYSab3Jmhn3K5Y9I_GvM8F_5A5WZf83iNwY9rFk</recordid><startdate>20100601</startdate><enddate>20100601</enddate><creator>Framinan, Jose M.</creator><creator>Leisten, Rainer</creator><general>Taylor & Francis Group</general><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>20100601</creationdate><title>Available-to-promise (ATP) systems: a classification and framework for analysis</title><author>Framinan, Jose M. ; Leisten, Rainer</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c512t-ab9f54899595dd53f1f10d6c21cdb2d1f18f291ce282ed11a14196e43fed8fb33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>ATP</topic><topic>available-to-promise</topic><topic>Classification</topic><topic>Coherence</topic><topic>Deadlines</topic><topic>Decision making models</topic><topic>Decision theory. Utility theory</topic><topic>Decisions</topic><topic>due date management</topic><topic>Due dates</topic><topic>Exact sciences and technology</topic><topic>Integration</topic><topic>Inventory control, production control. Distribution</topic><topic>Mathematical models</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>order capture</topic><topic>Order processing</topic><topic>Production management</topic><topic>Rejection</topic><topic>Resource scheduling</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Framinan, Jose M.</creatorcontrib><creatorcontrib>Leisten, Rainer</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>International journal of production research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Framinan, Jose M.</au><au>Leisten, Rainer</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Available-to-promise (ATP) systems: a classification and framework for analysis</atitle><jtitle>International journal of production research</jtitle><date>2010-06-01</date><risdate>2010</risdate><volume>48</volume><issue>11</issue><spage>3079</spage><epage>3103</epage><pages>3079-3103</pages><issn>0020-7543</issn><eissn>1366-588X</eissn><coden>IJPRB8</coden><abstract>Available-to-promise (ATP) systems deal with a number of managerial decisions related to order capture activities in a company, including order acceptance/rejection, due date setting, and resource scheduling. These different but interrelated decisions have often been studied in an isolated manner, and, to the best of our knowledge, no framework has been presented to integrate them into the broader perspective of order capture. This paper attempts to provide a general framework for ATP-related decisions. By doing so, we: (1) identify the different decision problems to be addressed; (2) present the different literature-based models supporting related decisions into a coherent framework; and (3) review the main contributions in the literature for each one of these. We first describe different approaches for order capture available in the literature, depending on two parameters related to the application context of ATP systems, namely the inclusion of explicit information about due dates in the decision model, and the level of integration among decisions. According to these parameters, up to six approaches for ATP-related decisions are identified. 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subjects | Applied sciences ATP available-to-promise Classification Coherence Deadlines Decision making models Decision theory. Utility theory Decisions due date management Due dates Exact sciences and technology Integration Inventory control, production control. Distribution Mathematical models Operational research and scientific management Operational research. Management science order capture Order processing Production management Rejection Resource scheduling Studies |
title | Available-to-promise (ATP) systems: a classification and framework for analysis |
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