Optimal replenishment strategy for a single-manufacturer multi-retailer cold chain considering multi-stage quality degradation

2021 ◽  
Author(s):  
G. Chen ◽  
M.I.M. Wahab ◽  
L. Fang
Keyword(s):  
Cold Chain ◽  
Quality Degradation ◽  
Multi Stage ◽  
Replenishment Strategy

scholarly journals Limitation and good practices for breakage of cold chain on cos lettuce (Lactuca sativa var. longifolia)

2020 ◽  
Vol 187 ◽  
pp. 04013
Author(s):  
Damorn Bundhurat ◽  
Pichaya Poonlarp ◽  
Viboon Changrue ◽  
Danai Boonyakiat ◽  
Nadthawat Muenmanee ◽  
...  
Keyword(s):  
Weight Loss ◽  
High Temperature ◽  
Chlorophyll Content ◽  
Lactuca Sativa ◽  
Percentage Change ◽  
Cold Chain ◽  
Good Practices ◽  
Chain System ◽  
Quality Degradation ◽  
Acceptable Quality

An effect of breaking the cold chain on cos lettuce (Lactuca sativa var. longifolia) had been studied in this research. Cos lettuce was taken under cold chain system at 4°C. Imitating the exposure to high temperature in hot country, cos lettuce was put out in the 25, 30, 35,and 40C atmosphere for 15, 30, 45 and 60 min. Product life, weight loss percentage, change of colour and chlorophyll content were measured to investigate quality degradation of cos lettuce. The limitation and good practices cos lettuce which had to go through cold chain breakage were acquired. From the results, it is recommended that cos lettuce should not exposed to temperature higher than 25C for longer than 30 min in order to maintain acceptable quality and freshness close to absolute cold chain, considered from degradation of weight, colour and chlorophyll. Degree of temperature had influences on degrading levels of cos lettuce. Exposing to temperature higher than 35C would degrade its quality and freshness and reduce storage life and should be avoid in any cases.

scholarly journals Single vendor-buyer model with deterministic demand, stochastic lead time and multi-quality degradation

2021 ◽  
Author(s):  
Sepehr Habibollahi
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Cold Chain ◽  
Chain Model ◽  
Green Beans ◽  
Perishable Product ◽  
Stochastic Lead Time ◽  
Deterministic Demand ◽  
Quality Degradation ◽  
Supply Chain Model

This report examines the supply chain strategies for a specific perishable product, or fresh produce and uses green beans as an example. The quality of the products which are in direct correlation with the value of the product are put into the supply chain model, this type of model is also known as “cold chain”. This report in addition to recent researches in cold chain, looks into multi aspect quality degradation and a stochastic lead time from warehouse to retailer. This model developed creates greater insight into the supply chain strategies of such products.

scholarly journals An Optimization Approach to the Intermodal Transportation Network in Fruit Cold Chain, Considering Cost, Quality Degradation and Carbon Dioxide Footprint

2018 ◽  
Vol 25 (1) ◽  
pp. 61-69 ◽  
Author(s):  
Qianli Ma ◽  
Wenyuan Wang ◽  
Yun Peng ◽  
Xiangqun Song
Keyword(s):  
Carbon Dioxide ◽  
Programming Model ◽  
Cost Minimization ◽  
Network Planning ◽  
Cold Chain ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Intermodal Transportation ◽  
Quality Degradation ◽  
Trade Offs

AbstractThis model optimizes port hinterland intermodal refrigerated container flows, considering both cost and quality degradation, which is distinctive from the previous literature content in a way that it quantifies the influence of carbon dioxide (CO2) emission in different setting temperature on intermodal network planning. The primary contribution of this paper is that the model is beneficial not only to shippers and customers for the novel service design, but also offer, for policy-makers of the government, insights to develop inland transport infrastructures in consideration of intermodal transportation. The majority of models of multimodal system have been established with an objective of cost minimization for normal commodities. As the food quality is possible to be influenced by varying duration time required for the storage and transportation, and transportation accompanied with refrigeration producing more CO2emission, this paper aims to address cost minimization and quality degradation minimization within the constraint of CO2footprint. To achieve this aim, we put the quality degradation model in a mixed-integer linear programming model used for intermodal network planning for cold chain. The example of Dalian Port and Yingkou Port offer insight into trade-offs between transportation temperature and transport mode considering CO2footprint. Furthermore, the model can offer a useful reference for other regions with the demand for different imported food, which requires an uninterrupted cold chain during the transportation and storage.

scholarly journals A multi-stage green barrier strategy for the control of global SARS-CoV-2 transmission via food cold chain

Engineering ◽  
2021 ◽  
Author(s):  
Xu He ◽  
Xinwang Liu ◽  
Pan Li ◽  
Panpan Wang ◽  
Haijun Cheng ◽  
...  
Keyword(s):  
Cold Chain ◽  
Barrier Strategy ◽  
Multi Stage ◽  
Green Barrier

scholarly journals Single vendor-buyer model with deterministic demand, stochastic lead time and multi-quality degradation

2021 ◽  
Author(s):  
Sepehr Habibollahi
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Cold Chain ◽  
Chain Model ◽  
Green Beans ◽  
Perishable Product ◽  
Stochastic Lead Time ◽  
Deterministic Demand ◽  
Quality Degradation ◽  
Supply Chain Model

This report examines the supply chain strategies for a specific perishable product, or fresh produce and uses green beans as an example. The quality of the products which are in direct correlation with the value of the product are put into the supply chain model, this type of model is also known as “cold chain”. This report in addition to recent researches in cold chain, looks into multi aspect quality degradation and a stochastic lead time from warehouse to retailer. This model developed creates greater insight into the supply chain strategies of such products.

scholarly journals Orange cold chain with multiple nutritional components

2021 ◽  
Author(s):  
Muhammad Kamran
Keyword(s):  
Supply Chain ◽  
Global Stability ◽  
Lead Time ◽  
Storage Temperature ◽  
Stability Index ◽  
Cold Chain ◽  
Chain Model ◽  
Total Cost ◽  
Stochastic Lead Time ◽  
Quality Degradation

Two echelon cold supply chain model is developed in which warehouse and retailer are the two main actors of supply chain. The model is based on energy consumption cost for chiller system and the stochastic lead time. To incorporate the quality degradation, global stability index (GSI) method is used. The objective is to analyze the effect of retailer’s storage temperature and nutritional index weightage on the total cost of supply chain. A breakdown structure of all the associated costs is developed to formulate the total cost of cold chain. A numerical example is used for better understanding. To find the optimal solution, the model is numerically solved by using matlab genetic algorithm. The sensitivity analysis is being performed to study the model behavior against different parameters. Keywords: Cold chain, echelon valuation, quality degradation, global stability index, stochastic lead time

scholarly journals Orange cold chain with multiple nutritional components

2021 ◽  
Author(s):  
Muhammad Kamran
Keyword(s):  
Supply Chain ◽  
Global Stability ◽  
Lead Time ◽  
Storage Temperature ◽  
Stability Index ◽  
Cold Chain ◽  
Chain Model ◽  
Total Cost ◽  
Stochastic Lead Time ◽  
Quality Degradation

Two echelon cold supply chain model is developed in which warehouse and retailer are the two main actors of supply chain. The model is based on energy consumption cost for chiller system and the stochastic lead time. To incorporate the quality degradation, global stability index (GSI) method is used. The objective is to analyze the effect of retailer’s storage temperature and nutritional index weightage on the total cost of supply chain. A breakdown structure of all the associated costs is developed to formulate the total cost of cold chain. A numerical example is used for better understanding. To find the optimal solution, the model is numerically solved by using matlab genetic algorithm. The sensitivity analysis is being performed to study the model behavior against different parameters. Keywords: Cold chain, echelon valuation, quality degradation, global stability index, stochastic lead time

Planning and Search in Multi-Stage Risky Decision Making

2011 ◽  
Author(s):  
Jared Hotaling ◽  
Jerry Busemeyer ◽  
Richard Shiffrin
Keyword(s):  
Decision Making ◽  
Risky Decision Making ◽  
Risky Decision ◽  
Multi Stage

Effects of Cooking Oil Subsidy Removals on Related Markets in Malaysia: A Comparative Static, Multicommodity, Multi Stage Production Approach

2011 ◽  
Author(s):  
Jamal Othman ◽  
Yaghoob Jafari
Keyword(s):  
Equilibrium Model ◽  
Comparative Statics ◽  
Partial Equilibrium ◽  
Cooking Oil ◽  
Multi Stage ◽  
Supply Factor ◽  
Partial Equilibrium Model ◽  
Factor Markets ◽  
Input Markets ◽  
Production Approach

Malaysia is contemplating removal of most of her subsidy support measures including subsidies on cooking oil which is largely palm oil based. This paper aims to examine the effects of cooking oil subsidy removals on the competitiveness of the oil palm subsector and related markets. This is done by developing and applying a comparative static, multi-commodity, partial equilibrium model with multi-stages of production function for the Malaysian perennial crops subsector which explicitly links different stages of production, primary and intermediate input markets, trade, and policy linkages. Results partly suggest that export of cooking oil will increase by 0.2 per cent due to a 10 per cent cooking oil subsidy reduction, while domestic output of cooking oil may eventually see a net decline of 1.97 per cent. The results clearly point out that the effect of reducing cooking oil subsidies is relatively small at the upstream levels and therefore it only induces minute effects on factor markets. Consequently, the market for other agricultural crops is projected to change very marginally.   Keywords: Multicomodity, comparative statics, partial equilibrium model, output supply-factor markets linkages, effects of cooking oil subsidy removals.

IMPACT ASSESSMENT OF AGRICULTURAL TRANSFORMATION PROJECT ON PRODUCTIVITY AND POVERTY AMONG RICE FARMERS IN KANO STATE, NIGERIA.

2020 ◽  
Vol 4 (2) ◽  
pp. 392-400
Author(s):  
O. S. Balogun ◽  
M. A. Damisa ◽  
O. Yusuf ◽  
O. L. Balogun
Keyword(s):  
Sampling Method ◽  
Insect Pests ◽  
Study Data ◽  
Average Treatment Effect ◽  
Descriptive Statistics ◽  
Rice Farmers ◽  
Agricultural Transformation ◽  
Multi Stage ◽  
Significant Difference ◽  
Late Model

The study was carried out to examine the effect of agricultural transformation on the beneficiary’s productivity and poverty of rice farmers in Kano State Nigeria. A multi-stage sampling method was employed to select 571 respondents for the study. Data were collected through structured questionnaires on respondent’s income, input and output quantities as well as their expenditures. Data were analysis using descriptive statistics, Foster-Greer-Thorbecke (FGT), Propensity score matching and LATE model. Results from the study shows that respondents productivity revealed a significant difference of about 127 kg/ha in rice productivity between participants and non-participants. Also, the LATE estimates revealed an average treatment effect ATE0 of about 222.98kg/ha. Furthermore, the project had a significant effect N11, 321.4 on the participant’s consumption expenditure than the non-participants N9980.60. Moreover, participants were, able to increase their household total expenditures by N34780 per annum. Fluctuations of input/output prices insect pests and inadequate extension visits were all the major constraints faced by the farmers. It was recommended that farmers’ information and sensitization system should be overhauled and improved. Also, attention should be given to well organize extension visits for the farmers from stake holders

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