In this chapter, the two-warehouse inventory problem is considered for deteriorating items with constant demand rate and shortages under inflationary conditions. In today’s unstable global economy, the effects of inflation and time value of money cannot be ignored as it increases the cost of goods. To safeguard from the rising prices, during the inflation regime, the organization prefers to kee...

This paper develops a single-vendor single-retailer supply chain for multi-product. The proposed model is based on Vendor Managed Inventory (VMI) approach and vendor uses the retailer's data for better decision making. Number of orders and available capital are the constraints of the model. In this system, shortages are backordered; therefore, the vendor’s warehouse capacity is another limitati...

In this paper, a new formulation along with numerical solution for the problem of finding a point-to-point trajectory with maximum load carrying capacities for flexible manipulators is proposed. For rigid manipulators, the major limiting factor in determining the Dynamic Load Carrying Capacity (DLCC) is the joint actuator capacity. The flexibility exhibited by light weight robots or by robots o...

In today’s competitive business situation, the supplier frequently offers his or her retailers a permissible delay period ( i.e. , trade credit) to stimulate sales. addition, capacity of any warehouse is limited in practice, thus retailer needs an additional rented (RW) store excess units when order quantity exceeds own (OW). Furthermore, with globalization marketing policy, may provide discoun...

In a VMI service, a central production center (i.e. the vendor) can control the inventory of each retailer according to the optimization of the costs due both to the overfilling/stock-out of the inventories and to the travels required for the deliveries. In this work, an original mathematical programming approach has been formulated and implemented in order to show that under specific but commo...

Cities that grow on an island have limitations in utilizing space for various activities. The limited of activity, population growth, and high urban activity signaled the need to analyze optimal capacity cities. With Ternate City case study, this study aims determine cities economically by analyzing size city residents. measurement uses Alonso-Richardson approach, minimum management cost, net b...

With a rapid decline in cost of battery energy storage, system plays an increasingly important role managing imbalance between ordering and consumption the electricity wholesale market. We develop innovative demand forecasting framework for calculating optimal capacity that maximizes profit retailer. The allows different costs associated with over- under-prediction errors, two insensitive param...