Backroom effect on perishable inventory management with IoT information

Author(s):  
Lin Li ◽  
Ou Tang ◽  
Wei Zhou ◽  
Tijun Fan
2018 ◽  
Vol 15 (3) ◽  
pp. 306-346 ◽  
Author(s):  
Vaibhav Chaudhary ◽  
Rakhee Kulshrestha ◽  
Srikanta Routroy

PurposeThe purpose of this paper is to review and analyze the perishable inventory models along various dimensions such as its evolution, scope, demand, shelf life, replenishment policy, modeling techniques and research gaps.Design/methodology/approachIn total, 418 relevant and scholarly articles of various researchers and practitioners during 1990-2016 were reviewed. They were critically analyzed along author profile, nature of perishability, research contributions of different countries, publication along time, research methodologies adopted, etc. to draw fruitful conclusions. The future research for perishable inventory modeling was also discussed and suggested.FindingsThere are plethora of perishable inventory studies with divergent objectives and scope. Besides demand and perishable rate in perishable inventory models, other factors such as price discount, allow shortage or not, inflation, time value of money and so on were found to be combined to make it more realistic. The modeling of inventory systems with two or more perishable items is limited. The multi-echelon inventory with centralized decision and information sharing is acquiring lot of importance because of supply chain integration in the competitive market.Research limitations/implicationsOnly peer-reviewed journals and conference papers were analyzed, whereas the manuals, reports, white papers and blood-related articles were excluded. Clustering of literature revealed that future studies should focus on stochastic modeling.Practical implicationsStress had been laid to identify future research gaps that will help in developing realistic models. The present work will form a guideline to choose the appropriate methodology(s) and mathematical technique(s) in different situations with perishable inventory.Originality/valueThe current review analyzed 419 research papers available in the literature on perishable inventory modeling to summarize its current status and identify its potential future directions. Also the future research gaps were uncovered. This systemic review is strongly felt to fill the gap in the perishable inventory literature and help in formulating effective strategies to design of an effective and efficient inventory management system for perishable items.


2017 ◽  
Author(s):  
Kebing Chen ◽  
Jing-Sheng Jeannette Song ◽  
Jennifer Shang ◽  
Tiaojun Xiao

2017 ◽  
Vol 19 (1) ◽  
pp. 99-110
Author(s):  
Lamay Bin Sabir ◽  
Jamal A. Farooquie

In today’s challenging and competitive scenario, Indian retailers (organized sector) of fruits and vegetables need more dynamic strategies in order to provide customer satisfaction and retention. Purchasing, overstocking, stock-out, throw away, markdowns, etc. are different activities that are undertaken in a retail store selling perishable inventory, especially fruits and vegetables. These factors affect the profitability of the retail store, directly or indirectly; hence, proper control over these factors must be the primary objective of the retailer selling fruits and vegetables. This article aims to find out significant relationships within these parameters of inventory management so that retailers find it helpful in devising strategies for a better competitive edge. First, factors are identified, and then, statistical tests (chi-square and analysis of variance) are used to derive conclusions.


2017 ◽  
Vol 55 (18) ◽  
pp. 5341-5354 ◽  
Author(s):  
Dilupa Nakandala ◽  
Henry Lau ◽  
Paul K.C. Shum

Author(s):  
Linh Nguyen Khanh Duong ◽  
Lincoln C. Wood

Perishability and substitutability are two key attributes that cannot be ignored in supply chain management. Once produced, perishable products have a finite shelf life. When expired, they are either partially or wholly value-less. The more time that perishable inventory is in storage, the less time it is available for sale to customers. Product substitution is a possibility when considering multiple products. Research indicates that an alternative product is willingly chosen by customers if the preferred one is out of stock. Managers must decide on the replenishment time and replenishment quantity for each item within product subcategory to maximize expected profits under uncertain demand while minimizing the instances of running out of inventory (i.e., a stock out). The combination of these factors often requires simulation models to be developed to understand the behavior of the system as the parameters change. Simulation can incorporate stochasticity and complexity while providing detailed output for further analysis and optimization work.


2021 ◽  
pp. 116346
Author(s):  
Pedram Hooshangi-Tabrizi ◽  
Hossein Hashemi Doulabi ◽  
Ivan Contreras ◽  
Nadia Bhuiyan

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