Data Mining - Concepts and Techniques.

National Institute of Standards and Technology における超伝導研究及び生活

Recent trends in modeling of deteriorating inventory

https://isiarticles.com/bundles/Article/pre/pdf/19182.pdf

Economic production quantity model for items with imperfect quality

This paper provides a survey of the research in and an annotated bibliography of multiple objective combinatorial optimization, MOCO. We present a general formulation of MOCO problems, describe the main characteristics of MOCO problems, and review the main properties and theoretical results for these problems. The main parts of the paper are a section on the review of the available solution methodology, both exact and heuristic, and a section on the annotation of the existing literature in the field organized problem by problem. We conclude the paper by stating open questions and areas of future research.

A survey and annotated bibliography of multiobjective combinatorial optimization

The sophisticated behaviour of the customers, availability of variety of products, stiff competition and product obsolescence results in limited selling period and uncertainty in demand for a product. In that context, the newsvendor models have found increasing applicability in supply chain management (SCM). This paper investigates a newsvendor model with alternative risk preference in which vendor is averse to stockouts in order to avoid dissatisfaction of customers, cost of emergency order and lost sales. We obtain unique optimal solution of the problem and study its various properties. Since newsvendor problem ignores the effect of other vendors in the supply chain, we study a supply chain system with risk neutral wholesaler selling its product to several vendors with stockout averse preferences competing for inventory. We establish the existence and uniqueness of a pure strategy Nash equilibrium. Then we obtain unique optimal solution and study its characteristics. Finally, our model is illustrated with the help of numerical example.

Stockout aversion in retailing supply chain using newsvendor models

This paper presents a realistic manufacturing inventory model with process deterioration and machine breakdown. In economic manufacturing quantity model, process usually starts with ‘in-control’ state and produces items of good quality. After some random point of time, process may deteriorate and shift to ‘out-of-control’ state due to occurrence of assignable cause. From that point, process produces some percentage of non-conforming items. Further process deterioration after machine shift may result in machine breakdown at any random time during the production period. If machine breakdown occurs during the production period, then corrective (emergency) repair is performed immediately otherwise preventive (regular) repair is performed at the end of production period. The proposed model is formulated assuming that the time required for production facility shifting from ‘in-control’ state to ‘out-of-control’ state, time when machine breaks down, corrective and preventive repairing time and demand of items fo...

Stochastic manufacturing system with process deterioration and machine breakdown

Demand of many items begins to decrease with time due to obsolescence, quality degradation, competition etc. In marketplace new product is generally introduced at maximum retail price and retailers then lower the price with course of time due to competition to increase their demand. This increases the sales and saves some costs. This article tries to incorporate above scenario to develop a novel inventory model with selling price dependent time varying demand, variable holding cost and constant obsolescence or deterioration rate. Selling price also decreases linearly with time. Ordering cost, purchase cost, variable holding cost, deterioration cost and selling price are taken together to construct the total average profit function, which is maximized to obtain the optimal cycle time, optimal lot size and value of optimum average profit function. Sensitivity analysis is performed to establish that our model is robust and important managerial implications are put forward to demonstrate the applicability of the model.

Deteriorating inventory model with variable holding cost and price dependent time varying demand

Recent trends in the database paradigm are to incorporate fuzzy sets to tackle imprecise and ambiguous information of real world problems. In this paper, using the concepts of fuzzy sets and possibility theory, a FTS relational model is developed to extend the TS-relational model by Ee Peng Lilm et al. (1999). The extended model integrates local fuzzy databases by merging the respective export fuzzy databases to generate a set of FTS relations of fuzzy multidatabase. A set of algebraic operations is defined to manipulate the FTS relations and their correctness is established. A set of algebraic rules is also presented to optimize FTS algebraic expressions.

An extended relational algebra for fuzzy multidatabases

This research formulates a real-life multi-depot and multi-period vehicle routing problem (MDMPVRP) by imposing time window (TW) and many other constraints. A set of customers, spread in different locations, are to be served by a fleet of heterogeneous vehicles over a finite number of periods. Each customer is associated with combinations of routes and vehicles over the period. A customer must be served in one of the allowable combinations. The objective of this MDMPVRP-TW is to minimize the total distance traversed by the fleet over the planning horizon. The proposed MDMPVRP-TW is an extension of vehicle routing problem (VRP), and is hence an NP-hard problem. In order to optimize it, we propose a hybrid meta-heuristic approach by combining tabu search (TS) and variable neighbourhood search (VNS) algorithms. Furthermore, to provide richer insights, the efficacy of the proposed method and mathematical formulation is demonstrated through numerical experiments for a number of instances varying from small to large scale.

Designing a multi-depot multi-period vehicle routing problem with time window: hybridization of tabu search and variable neighbourhood search algorithm

Adrijit Goswami

Papers

Stockout aversion in retailing supply chain using newsvendor models

Stochastic manufacturing system with process deterioration and machine breakdown

Deteriorating inventory model with variable holding cost and price dependent time varying demand

An extended relational algebra for fuzzy multidatabases

Designing a multi-depot multi-period vehicle routing problem with time window: hybridization of tabu search and variable neighbourhood search algorithm