Mid-term and short-term planning support for home health care services
► Different models to address OR problems connected to home health care services. ► Problems are solved using different metaheuristics combined with methods from constraint programming. ► Computational results with real world instances. In this paper we are looking at routing and scheduling problems...
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Veröffentlicht in: | European journal of operational research 2012-06, Vol.219 (3), p.574-587 |
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creator | Nickel, Stefan Schröder, Michael Steeg, Jörg |
description | ► Different models to address OR problems connected to home health care services. ► Problems are solved using different metaheuristics combined with methods from constraint programming. ► Computational results with real world instances.
In this paper we are looking at routing and scheduling problems arising in the context of home health care services. Many small companies are working in this sector in Germany and planning is still done manually, resulting in long planning times and relatively inflexible solutions.
First, we consider the home health care problem (HHCP) which seeks for a weekly optimal plan. However, in practice a master schedule is generated which is modified to incorporate operational changes. We take this approach into account by looking at the master schedule problem (MSP) and at the operational planning problem (OPP).
The problems are solved using different metaheuristics combined with methods from constraint programming. This allows a very flexible treatment of realistic constraints.
Computational results are presented using real world data. |
doi_str_mv | 10.1016/j.ejor.2011.10.042 |
format | Article |
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In this paper we are looking at routing and scheduling problems arising in the context of home health care services. Many small companies are working in this sector in Germany and planning is still done manually, resulting in long planning times and relatively inflexible solutions.
First, we consider the home health care problem (HHCP) which seeks for a weekly optimal plan. However, in practice a master schedule is generated which is modified to incorporate operational changes. We take this approach into account by looking at the master schedule problem (MSP) and at the operational planning problem (OPP).
The problems are solved using different metaheuristics combined with methods from constraint programming. This allows a very flexible treatment of realistic constraints.
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In this paper we are looking at routing and scheduling problems arising in the context of home health care services. Many small companies are working in this sector in Germany and planning is still done manually, resulting in long planning times and relatively inflexible solutions.
First, we consider the home health care problem (HHCP) which seeks for a weekly optimal plan. However, in practice a master schedule is generated which is modified to incorporate operational changes. We take this approach into account by looking at the master schedule problem (MSP) and at the operational planning problem (OPP).
The problems are solved using different metaheuristics combined with methods from constraint programming. This allows a very flexible treatment of realistic constraints.
Computational results are presented using real world data.</description><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Constraint programming</subject><subject>Economy. Management</subject><subject>Exact sciences and technology</subject><subject>Firm modelling</subject><subject>Health and social institutions</subject><subject>Heuristic</subject><subject>Home health care</subject><subject>Mathematical programming</subject><subject>Medical sciences</subject><subject>Metaheuristics</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>OR in health services</subject><subject>Planning</subject><subject>Public health. Hygiene</subject><subject>Public health. 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Management</topic><topic>Exact sciences and technology</topic><topic>Firm modelling</topic><topic>Health and social institutions</topic><topic>Heuristic</topic><topic>Home health care</topic><topic>Mathematical programming</topic><topic>Medical sciences</topic><topic>Metaheuristics</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>OR in health services</topic><topic>Planning</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Route planning</topic><topic>Scheduling</topic><topic>Scheduling, sequencing</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nickel, Stefan</creatorcontrib><creatorcontrib>Schröder, Michael</creatorcontrib><creatorcontrib>Steeg, Jörg</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</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><jtitle>European journal of operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nickel, Stefan</au><au>Schröder, Michael</au><au>Steeg, Jörg</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mid-term and short-term planning support for home health care services</atitle><jtitle>European journal of operational research</jtitle><date>2012-06-16</date><risdate>2012</risdate><volume>219</volume><issue>3</issue><spage>574</spage><epage>587</epage><pages>574-587</pages><issn>0377-2217</issn><eissn>1872-6860</eissn><coden>EJORDT</coden><abstract>► Different models to address OR problems connected to home health care services. ► Problems are solved using different metaheuristics combined with methods from constraint programming. ► Computational results with real world instances.
In this paper we are looking at routing and scheduling problems arising in the context of home health care services. Many small companies are working in this sector in Germany and planning is still done manually, resulting in long planning times and relatively inflexible solutions.
First, we consider the home health care problem (HHCP) which seeks for a weekly optimal plan. However, in practice a master schedule is generated which is modified to incorporate operational changes. We take this approach into account by looking at the master schedule problem (MSP) and at the operational planning problem (OPP).
The problems are solved using different metaheuristics combined with methods from constraint programming. This allows a very flexible treatment of realistic constraints.
Computational results are presented using real world data.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.ejor.2011.10.042</doi><tpages>14</tpages></addata></record> |
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subjects | Applied sciences Biological and medical sciences Constraint programming Economy. Management Exact sciences and technology Firm modelling Health and social institutions Heuristic Home health care Mathematical programming Medical sciences Metaheuristics Operational research and scientific management Operational research. Management science OR in health services Planning Public health. Hygiene Public health. Hygiene-occupational medicine Route planning Scheduling Scheduling, sequencing Studies |
title | Mid-term and short-term planning support for home health care services |
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