Coping with production time variability via dynamic lead-time quotation
Gökçe Kahveciog̃lu () and
Barış Balcıog̃lu ()
Additional contact information
Gökçe Kahveciog̃lu: Northwestern University
Barış Balcıog̃lu: Sabancı University
OR Spectrum: Quantitative Approaches in Management, 2016, vol. 38, issue 4, No 3, 877-898
Abstract:
Abstract In this paper, we propose two dynamic lead-time quotation policies in an M/GI/1 type make-to-stock queueing system serving lead-time sensitive customers with a single type of product. Incorporating non-exponential service times in an exact method for make-to-stock queues is usually deemed difficult. Our analysis of the proposed policies is exact and requires the numerical inversion of the Laplace transform of the sojourn time of an order to be placed. The first policy assures that the long-run probability of delivering the product within the quoted lead-time is the same for all backlogged customers. The second policy is a refinement of the first which improves the profitability if customers are oversensitive to even short delays in delivery. Numerical results show that both policies perform close to the optimal policy that was characterized only for exponential service times. The new insight gained is that the worsening impact of the production time variability, which is felt significantly in systems accepting all customers by quoting zero lead times, decreases when dynamic lead-time quotation policies are employed.
Keywords: Make-to-stock queues; $$M_n{ /GI/}1{ /K}$$ M n / G I / 1 / K; Inventory/production policies; Due date quotation; Service time variability (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s00291-015-0425-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:orspec:v:38:y:2016:i:4:d:10.1007_s00291-015-0425-8
Ordering information: This journal article can be ordered from
http://www.springer. ... research/journal/291
DOI: 10.1007/s00291-015-0425-8
Access Statistics for this article
OR Spectrum: Quantitative Approaches in Management is currently edited by Rainer Kolisch
More articles in OR Spectrum: Quantitative Approaches in Management from Springer, Gesellschaft für Operations Research e.V.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().