Buradasınız

Anasayfa » Content

Bir Stokastik Model Olarak Bozulabilir Envanter Problemi: Literatür Araştırması

Perishable Inventory Problem as a Stochastıc Model: A Literature Review

Journal Name:

  • Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi

Publication Year:

  • 2013

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Inventory management allows satisfying customer demand on time with minimum cost. Hence, accurate management of inventory not only allows for superiority to companies in the competitive environment but also minimize the inventory costs, as well. Most of the classical models in inventory theory literature are developed for the products that can be stored without time limitation. However, the inventory management of some products which have a lifetime such as the products that are used in health or food industry is different from the classical models and has been an important problem recently. In this study, the general structure and dynamics of the perishable inventory have been explained briefly and the aspects that differs the perishable problem from each other have been examined. Moreover, the literature those make considerable contributions on the inventory management of perishable products have been studied and presented briefly with respect to the appropriate classification.
Bookmark/Search this post with
Abstract (Original Language): 
Envanter yönetimi, müşteri talebinin en düşük maliyetlerle zamanında karşılanmasını sağlar. Bu nedenle envanter yönetiminin doğru yapılması, işletmelere rekabet ortamında üstünlük sağlayacağı gibi, maliyetlerini de azaltacaktır. Envanter kuramı literatüründeki klasik modellerin çoğu, ürünlerin süre kısıtlaması olmadan stoklanabileceğinden hareketle geliştirilmiştir. Oysa sağlık, gıda gibi birçok alanda karşılaştığımız raf ömrü olan ürünlerin envanter kontrolü, dayanıklı ürünlerin envanter kontrolünden farklıdır ve önemli bir problemdir. Bu çalışmada bozulabilir envanter probleminin genel yapısı ve dinamikleri kısaca açıklanmış, problemin hangi yönleri ile farklılık göstereceği incelenmiştir. Ayrıca bozulabilir envanter probleminin çözümüne önemli katkılar yapmış olan çalışmalar araştırılmış, uygun bir sınıflamaya göre bu çalışmalar kısaca sunulmuştur.
FULL TEXT (PDF): 
PDF icon arastrmx_190707_28_pp_119-144.pdf
  • 1
119-144
  • Turkish

JEL Codes:

REFERENCES

References: 

BAKKER, M., RIEZEBOS, J. ve TEUNTER, R. H. (2012), “Review of
inventory systems with deterioration since 2001”, European Journal of
Operational Research, 221, 275–284.
BARON, O., BERMAN, O. ve PERRY, D. (2010), “Continuous Review
Inventory Models for Perishable Items Ordered in Batches”, Mathematical
Methods of Operations Research, 72, 214-247.
BROEKMEULEN, R.A. ve VAN DONSELAAR, K.H. (2009), “A heuristic
to manage perishable inventory with batch ordering, positive lead times, and
time-varying demand”, Computers and Operations Research, 36, 3013-
3018.
Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Cilt:28, Sayı:1, Yıl:2013, ss.119-144
141
BULINSKAYA, E. (1964), “Some Results Concerning Inventory Policies”,
Theory of Probability and Its Applications, 6 (6), 389-403.
CHAKRAVARTHY, S.R. (2010), “An inventory system with Markovian
demands, phase type distributions for perishability and replenishment”,
OPSEARCH, 47 (4), 266–283.
FRIEDMAN, Y. ve HOCH, Y. (1978), “A dynamic lot size model with
inventory deterioration”, INFOR, 16, 183–188.
FRIES, B.E. (1975), “Optimal ordering policy for a perishable commodity
with fixed lifetime”, Operations Research, 23, 46-61.
GOYAL, S. ve GIRI, B. (2001), “Recent trends in modeling of
deteriorating”, European Journal of Operational Research, 134 (1), 1-16.
GÜRLER, Ü. ve ÖZKAYA, B.Y. (2008), “Analysis of the (s,S) policy for
perishable with a random shelf life” IIE Transactions, 40 (8), 759-781.
HAIJEMA R., VAN DER VAL, J. ve VAN DIJK, N.M. (2007), “Blood
platelet production: Optimization by dynamic programming and
simulation”, Computers and Operations Research, 34, 760-779.
KALPAKAM, S. ve ARIVARIGNAN, G. (1988), “A continuous Review
Perishable inventory model”, Statistics, 19 (3), 389-398.
KALPAKAM, S. ve ARIVARIGNAN, G. (1989), “On exhibiting inventory
systems with Erlangian lifetimes under renewal demands”, Annals of the
Institute of Statistical Mathematics, Vol. 41, No. 3, 601-616.
KALPAKAM, S. ve SAPNA, K. (1994), “Continuous review (s, S)
inventory system with random lifetimes and positive leadtimes”, Operations
Research Letters, 16, 115–119.
KALPAKAM, S. ve SHANTHI, S. (2006), “A continuous review perishable
system with renewal demands”, Annals of Operations Research, 143 (1),
211-225.
KARAESMEN I. Z., SCHELLER-WOLF, A. ve DENIZ, B. (2011),
“Managing Perishable and Aging Inventories: Review and Future Research
Directions”, International Series in Operations Research & Management
Science, 151, 393-436.
Umay UZUNOĞLU KOÇER - Bahar YALÇIN
142
KASPI, H. ve PERRY, D. (1983), “Inventory systems for perishable
commodities with renewal input and Poisson output”, Advances in Applied
Probability, 16, 402–421.
KASPI, H. ve PERRY, D. (1984), “Inventory Systems for Perishable
Commodities with Renewal Input and Poisson Output”, Advances in
Applied Probability, Vol. 16, No. 2, 402-421.
LEVINA T., LEVIN, Y., MCGILL, J., NEDIAK, M. ve VOVK, V. (2010),
“Weak aggregating algorithm for the distribution-free perishable inventory
problem”, Operations Research Letters, 38, 516-521.
LIAN, Z. ve LIU, L. (2001), “Continuous review perishable inventory
systems: models and heuristics”, IIE Transactions, 33 (9), 809-822.
LIAN, Z., LIU, L. ve ZHAO, N. (2009), “A perishable inventory model
with Markovian renewal demands”, International Journal of Production
Economics, 121 (1), 176-182.
LIU, L. ve SHI, D. (1999), “An (s,S) Model for Inventory with Exponential
Lifetimes and renewal Demands”, Naval Research Logistics, 46, 39-56.
LIU, L. (1990), “(s,S) continuous review models for inventory with random
lifetimes”, Operations Research Letters, 9, 161-167.
LIU, L. ve LIAN, Z. (1999), “(s, s) continuous review models for products
with fixed lifetimes”, Operations Research, 47 (1), 150–158.
MINNER, S. ve TRANSCHEL, S. (2010), “Periodic review inventory
control for perishable products under service-level constraints”, OR
Spectrum, 32 (4), 979-996.
NAHMIAS, S. (1975), “Optimal ordering policies for perishable inventory-
II”, Operations Research, 23, 735-749.
NAHMIAS, S. (1976), “Myopic Approximations for the Perishable
Inventory Problem”, Management Science, 22(9), 1002-1008.
NAHMIAS, S. (1977a), “Higher-Order Approximations for the Perishable-
Inventory Problem”, Operations Research, vol. 25, no. 4, 630-640.
Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Cilt:28, Sayı:1, Yıl:2013, ss.119-144
143
NAHMIAS, S. (1977b), “On Ordering Perishable Inventory when Both
Demand and Lifetime are Random”, Management Science, vol. 24, no. 1,
82-90.
NAHMIAS, S. (1978), “The Fixed-Charge Perishable Inventory Problem”,
Operations Research vol. 26, no. 3, 464-481.
NAHMIAS, S. (1982), “Perishable inventory theory: A review”, Operations
Research, 30 (4), 680-708.
NAHMIAS, S. ve PIERSKALLA, W.P. (1973), “Optimal ordering policies
for product that perishes in two periods subject to stochastic demand”,
Naval Research Logistics Quarterly, 20 (2), 207-229.
NANDAKUMAR, P. ve MORTON, T. E. (1993), “Near myopic heuristics
for the fixed-life perishable inventory problem”, Management Science, 39,
1490-1498.
PARLAR, M., PERRY, D. ve STADJE, W. (2011), “FIFO versus LIFO
Issuing Policies for Stochastic Perishable Inventory Systems”, Methodology
and Computing in Applied Probability, 13, 405-417.
PIERSKALLA, W. ve ROACH, C. (1972), “Optimal issuing policies for
perishable inventory”, Management Science, 18 (11), 603–614.
RAAFAT, F. (1991), “Survey of literature on continuously deteriorating
inventory model”, Journal of the Operational Research Society, 42, 27-37.
RAVICHANDRAN, N. (1988), “Probabilistic Analysis of a Continuous
Review Perishable Inventory System with Markovian Demand, Erlang Life
and Non-instantaneous Leadtime”, Operation Research Spektrum, 10, 23-
27.
RAVICHANDRAN, N. (1995), “Stochastic Analysis of a Continuous
Review Perishable Inventory System with Positive Leadtime and Poisson
Demand”, European Journal of Operation Research, 84(2), 444-457.
TEKIN, E., GÜRLER, Ü. ve BERK, E. (2001), “Age-based vs. stock level
control policies for a perishable inventory system”, European Journal of
Operational Research, 134, 309-329.
Umay UZUNOĞLU KOÇER - Bahar YALÇIN
144
VAN ZYL, G.J.J. (1964), Inventory control for perishable commodities, Ph.
D. Dissertation, University of North Carolina: USA.
VEINOTT, A.F. (1960), Optimal Ordering, Issuing and Disposal of
Inventory with Known demand, Unpublished Ph.D. dissertation, Columbia
University: USA.
WEISS, H.Y. (1980), “Optimal Ordering Policies for Continuous Review
Perishable Inventory Models”, Operations Research, 28(2), 365-374.
WILLIAMS, C.L. ve PATUWO, B.E. (1999), “A perishable inventory
model with positive order leadtimes”, European Journal of Operational
Research, 116, 352-373.
WILLIAMS, C.L. ve PATUWO, B.E. (2004), “Analysis of the effect of
various unit costs on the optimal incoming quantity in a perishable
inventory model”, European Journal of Operational Research, 156, 140-
147.

Thank you for copying data from http://www.arastirmax.com