Optimal Deteriorating Inventory Models for Varies Supply Life Cycles

Agriculture items, such as fruits and vegetables, have different supply and demand characteristics during a harvest period. Fruits supply in the first and end of harvest time are not reliable so sometimes supply are not available when needed. Fruits demand is different during harvest season. In the first harvest season, demand depends on price and at the end of harvest time, the demand depends on presentation of the items. In this study, inventory deteriorating items models for the first and the end of the harvest season are developed. Since closed-form solutions cannot be derived from the models, a Genetic Algorithm and a heuristic method are used to solve the problems. A numerical example and sensitivity analysis are conducted to illustrate the model and get insights. The sensitivity analysis shows that the supplier will increase his price when supply is not reliable at the early harvest period.  The results show that the unreliable supply is susceptible to the total cost at the end of the harvest period

A New Disaster Aid Information System Model for Indonesia Red Cross: A Case Study in East Java Province

Humanitarian logistics is a complex system since there are many individuals and institutions should collaborate when a disaster happen. Therefore a good information system will be developed in this research to make the funding and distribution process efficient and effective. The model is developed based on a survey to 101 individuals in Surabaya, East Java, Indonesia to know their perception about humanitarian aids. The information model is developed for Indonesia Red Cross since this institution is the most trustworthy institution but only few respondents have donated their donation through this organisation. The model is developed by incorporating convenience store chain since they are good in distribution channel and networking. The system model result in more efficient and effective distribution process

THE EFFECTS OF INFLATION AND TIME VALUE OF MONEY ON A PRODUCTION MODEL WITH A RANDOM PRODUCT LIFE CYCLE

In Moon and Lee's model (2000), they developed a finite planning horizon economic order quantity (EOQ) model with time value of money and inflation. This paper extends Moon and Lee's model to examine a production system with a random life cycle. Two conditions are discussed: the first is when the product life cycle ends in the production stage and the second is when the product life cycle ends in the non-production stage. We develop an algorithm to derive the optimal period time and expected total cost. Numerical examples and sensitivity analyses are given to validate the results of the production model.Time-value of money, inflation, production system, product life cycle