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Pagani P, Epp M, Furmans K (2016). An Exact Model to Determine the Lead-Time Distribution of Perishable Goods in a Kanban-Controlled Production System. Logistics Journal : Proceedings, Vol. 2016. (urn:nbn:de:0009-14-44594)

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%0 Journal Article
%T An Exact Model to Determine the Lead-Time Distribution of Perishable Goods in a Kanban-Controlled Production System
%A Pagani, Paolo
%A Epp, Martin
%A Furmans, Kai
%J Logistics Journal : Proceedings
%D 2016
%V 2016
%N 10
%@ 2192-9084
%F pagani2016
%X In many production and logistics systems the lead-time distribution of the transported products and goods plays a major role for what concerns the system performances. In particular, when the sojourn time in a part of the supply chain exceeds the target range, some quality and rework costs may arise, for example in case of perishable goods. This paper presents an analytical model to exactly determine the lead-time distribution in closed loop systems and to compute the correspondent costs by means of discrete-time Markov chains.
%L 620
%K Intralogistics
%K discrete-time
%K kanban
%K lean production
%K markov chain
%K perishable goods
%R 10.2195/lj_Proc_pagani_en_201610_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-44594
%U http://dx.doi.org/10.2195/lj_Proc_pagani_en_201610_01

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Bibtex

@Article{pagani2016,
  author = 	"Pagani, Paolo
		and Epp, Martin
		and Furmans, Kai",
  title = 	"An Exact Model to Determine the Lead-Time Distribution of Perishable Goods in a Kanban-Controlled Production System",
  journal = 	"Logistics Journal : Proceedings",
  year = 	"2016",
  volume = 	"2016",
  number = 	"10",
  keywords = 	"Intralogistics; discrete-time; kanban; lean production; markov chain; perishable goods",
  abstract = 	"In many production and logistics systems the lead-time distribution of the transported products and goods plays a major role for what concerns the system performances. In particular, when the sojourn time in a part of the supply chain exceeds the target range, some quality and rework costs may arise, for example in case of perishable goods. This paper presents an analytical model to exactly determine the lead-time distribution in closed loop systems and to compute the correspondent costs by means of discrete-time Markov chains.",
  issn = 	"2192-9084",
  doi = 	"10.2195/lj_Proc_pagani_en_201610_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-44594"
}

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RIS

TY  - JOUR
AU  - Pagani, Paolo
AU  - Epp, Martin
AU  - Furmans, Kai
PY  - 2016
DA  - 2016//
TI  - An Exact Model to Determine the Lead-Time Distribution of Perishable Goods in a Kanban-Controlled Production System
JO  - Logistics Journal : Proceedings
VL  - 2016
IS  - 10
KW  - Intralogistics
KW  - discrete-time
KW  - kanban
KW  - lean production
KW  - markov chain
KW  - perishable goods
AB  - In many production and logistics systems the lead-time distribution of the transported products and goods plays a major role for what concerns the system performances. In particular, when the sojourn time in a part of the supply chain exceeds the target range, some quality and rework costs may arise, for example in case of perishable goods. This paper presents an analytical model to exactly determine the lead-time distribution in closed loop systems and to compute the correspondent costs by means of discrete-time Markov chains.
SN  - 2192-9084
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-44594
DO  - 10.2195/lj_Proc_pagani_en_201610_01
ID  - pagani2016
ER  - 
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Wordbib

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<b:Issue>10</b:Issue>
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ISI

PT Journal
AU Pagani, P
   Epp, M
   Furmans, K
TI An Exact Model to Determine the Lead-Time Distribution of Perishable Goods in a Kanban-Controlled Production System
SO Logistics Journal : Proceedings
PY 2016
VL 2016
IS 10
DI 10.2195/lj_Proc_pagani_en_201610_01
DE Intralogistics; discrete-time; kanban; lean production; markov chain; perishable goods
AB In many production and logistics systems the lead-time distribution of the transported products and goods plays a major role for what concerns the system performances. In particular, when the sojourn time in a part of the supply chain exceeds the target range, some quality and rework costs may arise, for example in case of perishable goods. This paper presents an analytical model to exactly determine the lead-time distribution in closed loop systems and to compute the correspondent costs by means of discrete-time Markov chains.
ER

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Mods

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  <titleInfo>
    <title>An Exact Model to Determine the Lead-Time Distribution of Perishable Goods in a Kanban-Controlled Production System</title>
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  <name type="personal">
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    <namePart type="family">Epp</namePart>
    <namePart type="given">Martin</namePart>
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  <name type="personal">
    <namePart type="family">Furmans</namePart>
    <namePart type="given">Kai</namePart>
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  <abstract>In many production and logistics systems the lead-time distribution of the transported products and goods plays a major role for what concerns the system performances. In particular, when the sojourn time in a part of the supply chain exceeds the target range, some quality and rework costs may arise, for example in case of perishable goods. This paper presents an analytical model to exactly determine the lead-time distribution in closed loop systems and to compute the correspondent costs by means of discrete-time Markov chains.</abstract>
  <subject>
    <topic>Intralogistics</topic>
    <topic>discrete-time</topic>
    <topic>kanban</topic>
    <topic>lean production</topic>
    <topic>markov chain</topic>
    <topic>perishable goods</topic>
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