A cost-based model for customer batching in mass service operations

Abstract Customers of mass services have similar needs. Therefore, operations managers have options to process customers in batches, rather than individually. While batching in manufacturing may reduce setup time, batching in services may reduce both setup and processing time. Although substantial p...
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Gespeichert in:

Autor*in:	Simons, Jacob V. [verfasserIn] Burke, Gerard Russell, Gregory R.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2011

Schlagwörter:	Mass Service Batching Lot-Sizing Process Design Customer Preferences

Anmerkung:	© The Society of Service Science and Springer 2011

Übergeordnetes Werk:	Enthalten in: Journal of service science - Berlin : Springer, 2009, 3(2011), 2 vom: Dez., Seite 123-151
Übergeordnetes Werk:	volume:3 ; year:2011 ; number:2 ; month:12 ; pages:123-151

Links:	Volltext

DOI / URN:	10.1007/s12927-011-0006-6

Katalog-ID:	SPR028478177

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allfields	10.1007/s12927-011-0006-6 doi (DE-627)SPR028478177 (SPR)s12927-011-0006-6-e DE-627 ger DE-627 rakwb eng Simons, Jacob V. verfasserin aut A cost-based model for customer batching in mass service operations 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2011 Abstract Customers of mass services have similar needs. Therefore, operations managers have options to process customers in batches, rather than individually. While batching in manufacturing may reduce setup time, batching in services may reduce both setup and processing time. Although substantial prior research has been done on batch sizes in the manufacturing context, significant differences in cost structures complicate direct application of these models to services. Of special concern for polices regarding batching in service operations are immediate temporal effects on and preferences of customers. This paper synthesizes and extends previous research to develop and analyze an economic model for determining optimal batch sizes for many mass service scenarios. Mass Service (dpeaa)DE-He213 Batching (dpeaa)DE-He213 Lot-Sizing (dpeaa)DE-He213 Process Design (dpeaa)DE-He213 Customer Preferences (dpeaa)DE-He213 Burke, Gerard aut Russell, Gregory R. aut Enthalten in Journal of service science Berlin : Springer, 2009 3(2011), 2 vom: Dez., Seite 123-151 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:3 year:2011 number:2 month:12 pages:123-151 https://dx.doi.org/10.1007/s12927-011-0006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 3 2011 2 12 123-151
spelling	10.1007/s12927-011-0006-6 doi (DE-627)SPR028478177 (SPR)s12927-011-0006-6-e DE-627 ger DE-627 rakwb eng Simons, Jacob V. verfasserin aut A cost-based model for customer batching in mass service operations 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2011 Abstract Customers of mass services have similar needs. Therefore, operations managers have options to process customers in batches, rather than individually. While batching in manufacturing may reduce setup time, batching in services may reduce both setup and processing time. Although substantial prior research has been done on batch sizes in the manufacturing context, significant differences in cost structures complicate direct application of these models to services. Of special concern for polices regarding batching in service operations are immediate temporal effects on and preferences of customers. This paper synthesizes and extends previous research to develop and analyze an economic model for determining optimal batch sizes for many mass service scenarios. Mass Service (dpeaa)DE-He213 Batching (dpeaa)DE-He213 Lot-Sizing (dpeaa)DE-He213 Process Design (dpeaa)DE-He213 Customer Preferences (dpeaa)DE-He213 Burke, Gerard aut Russell, Gregory R. aut Enthalten in Journal of service science Berlin : Springer, 2009 3(2011), 2 vom: Dez., Seite 123-151 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:3 year:2011 number:2 month:12 pages:123-151 https://dx.doi.org/10.1007/s12927-011-0006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 3 2011 2 12 123-151
allfields_unstemmed	10.1007/s12927-011-0006-6 doi (DE-627)SPR028478177 (SPR)s12927-011-0006-6-e DE-627 ger DE-627 rakwb eng Simons, Jacob V. verfasserin aut A cost-based model for customer batching in mass service operations 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2011 Abstract Customers of mass services have similar needs. Therefore, operations managers have options to process customers in batches, rather than individually. While batching in manufacturing may reduce setup time, batching in services may reduce both setup and processing time. Although substantial prior research has been done on batch sizes in the manufacturing context, significant differences in cost structures complicate direct application of these models to services. Of special concern for polices regarding batching in service operations are immediate temporal effects on and preferences of customers. This paper synthesizes and extends previous research to develop and analyze an economic model for determining optimal batch sizes for many mass service scenarios. Mass Service (dpeaa)DE-He213 Batching (dpeaa)DE-He213 Lot-Sizing (dpeaa)DE-He213 Process Design (dpeaa)DE-He213 Customer Preferences (dpeaa)DE-He213 Burke, Gerard aut Russell, Gregory R. aut Enthalten in Journal of service science Berlin : Springer, 2009 3(2011), 2 vom: Dez., Seite 123-151 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:3 year:2011 number:2 month:12 pages:123-151 https://dx.doi.org/10.1007/s12927-011-0006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 3 2011 2 12 123-151
allfieldsGer	10.1007/s12927-011-0006-6 doi (DE-627)SPR028478177 (SPR)s12927-011-0006-6-e DE-627 ger DE-627 rakwb eng Simons, Jacob V. verfasserin aut A cost-based model for customer batching in mass service operations 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2011 Abstract Customers of mass services have similar needs. Therefore, operations managers have options to process customers in batches, rather than individually. While batching in manufacturing may reduce setup time, batching in services may reduce both setup and processing time. Although substantial prior research has been done on batch sizes in the manufacturing context, significant differences in cost structures complicate direct application of these models to services. Of special concern for polices regarding batching in service operations are immediate temporal effects on and preferences of customers. This paper synthesizes and extends previous research to develop and analyze an economic model for determining optimal batch sizes for many mass service scenarios. Mass Service (dpeaa)DE-He213 Batching (dpeaa)DE-He213 Lot-Sizing (dpeaa)DE-He213 Process Design (dpeaa)DE-He213 Customer Preferences (dpeaa)DE-He213 Burke, Gerard aut Russell, Gregory R. aut Enthalten in Journal of service science Berlin : Springer, 2009 3(2011), 2 vom: Dez., Seite 123-151 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:3 year:2011 number:2 month:12 pages:123-151 https://dx.doi.org/10.1007/s12927-011-0006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 3 2011 2 12 123-151
allfieldsSound	10.1007/s12927-011-0006-6 doi (DE-627)SPR028478177 (SPR)s12927-011-0006-6-e DE-627 ger DE-627 rakwb eng Simons, Jacob V. verfasserin aut A cost-based model for customer batching in mass service operations 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2011 Abstract Customers of mass services have similar needs. Therefore, operations managers have options to process customers in batches, rather than individually. While batching in manufacturing may reduce setup time, batching in services may reduce both setup and processing time. Although substantial prior research has been done on batch sizes in the manufacturing context, significant differences in cost structures complicate direct application of these models to services. Of special concern for polices regarding batching in service operations are immediate temporal effects on and preferences of customers. This paper synthesizes and extends previous research to develop and analyze an economic model for determining optimal batch sizes for many mass service scenarios. Mass Service (dpeaa)DE-He213 Batching (dpeaa)DE-He213 Lot-Sizing (dpeaa)DE-He213 Process Design (dpeaa)DE-He213 Customer Preferences (dpeaa)DE-He213 Burke, Gerard aut Russell, Gregory R. aut Enthalten in Journal of service science Berlin : Springer, 2009 3(2011), 2 vom: Dez., Seite 123-151 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:3 year:2011 number:2 month:12 pages:123-151 https://dx.doi.org/10.1007/s12927-011-0006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 3 2011 2 12 123-151
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source	Enthalten in Journal of service science 3(2011), 2 vom: Dez., Seite 123-151 volume:3 year:2011 number:2 month:12 pages:123-151
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author	Simons, Jacob V.
spellingShingle	Simons, Jacob V. misc Mass Service misc Batching misc Lot-Sizing misc Process Design misc Customer Preferences A cost-based model for customer batching in mass service operations
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topic	misc Mass Service misc Batching misc Lot-Sizing misc Process Design misc Customer Preferences
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title	A cost-based model for customer batching in mass service operations
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title_full	A cost-based model for customer batching in mass service operations
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title_sort	cost-based model for customer batching in mass service operations
title_auth	A cost-based model for customer batching in mass service operations
abstract	Abstract Customers of mass services have similar needs. Therefore, operations managers have options to process customers in batches, rather than individually. While batching in manufacturing may reduce setup time, batching in services may reduce both setup and processing time. Although substantial prior research has been done on batch sizes in the manufacturing context, significant differences in cost structures complicate direct application of these models to services. Of special concern for polices regarding batching in service operations are immediate temporal effects on and preferences of customers. This paper synthesizes and extends previous research to develop and analyze an economic model for determining optimal batch sizes for many mass service scenarios. © The Society of Service Science and Springer 2011
abstractGer	Abstract Customers of mass services have similar needs. Therefore, operations managers have options to process customers in batches, rather than individually. While batching in manufacturing may reduce setup time, batching in services may reduce both setup and processing time. Although substantial prior research has been done on batch sizes in the manufacturing context, significant differences in cost structures complicate direct application of these models to services. Of special concern for polices regarding batching in service operations are immediate temporal effects on and preferences of customers. This paper synthesizes and extends previous research to develop and analyze an economic model for determining optimal batch sizes for many mass service scenarios. © The Society of Service Science and Springer 2011
abstract_unstemmed	Abstract Customers of mass services have similar needs. Therefore, operations managers have options to process customers in batches, rather than individually. While batching in manufacturing may reduce setup time, batching in services may reduce both setup and processing time. Although substantial prior research has been done on batch sizes in the manufacturing context, significant differences in cost structures complicate direct application of these models to services. Of special concern for polices regarding batching in service operations are immediate temporal effects on and preferences of customers. This paper synthesizes and extends previous research to develop and analyze an economic model for determining optimal batch sizes for many mass service scenarios. © The Society of Service Science and Springer 2011
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title_short	A cost-based model for customer batching in mass service operations
url	https://dx.doi.org/10.1007/s12927-011-0006-6
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up_date	2024-07-03T19:40:54.202Z
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