Anuj Prakash

Indian Institute of Technology Delhi | IIT Delhi · Department of Mechanical Engineering

In the present paper, an extensive decision-making problem of scheduling in flexible environment has been discussed. The novelty of the research is to allocate the machines to the operations on the basis of the priority. The highly prioritised machines are allocated first but least prioritised machines are also allocated for on-time delivery. The p...

In this paper, Multi-Item Capacitated Lot-Sizing Problem (MICLSP) has been taken into consideration. Demand for each item in each period is uncertain and it is known at the starting off first time period. This paper also addresses the backlogging and a high penalty cost occurred for backlogging. Simultaneously, the penalty cost for exceeding the re...

In manufacturing firms, there is a critical need for proper maintenance of manufacturing facilities. The maintenance process enhances customer satisfaction and reliability of the products, and increases the profit of the manufacturer. Therefore, a proper maintenance policy selection is a critical issue for manufacturers, as an inefficient maintenan...

Due to global competition, firms are seeking more effective supply chain (SC) collaboration in order to provide quality products with less cost, at the right time and in the right quantity. The present study examines manufacturing SC collaboration on the basis of holding cost, backorder cost and ordering cost. The types of collaboration examined ar...

In this paper, we present a Knowledge Based Genetic Algorithm (KBGA) for the network optimization of Supply Chain (SC). The proposed algorithm integrates the knowledge base for generating the initial population, selecting the individuals for reproduction and reproducing new individuals. From the literature, it has been seen that simple genetic-algo...

In this paper, an artificial immune system- (AIS-)based fuzzy expert system is developed for a flexible manufacturing system (FMS) to make the real-time decision in the randomly changing marketing and production environments. In FMS context, any direct mathematical relationship between system attributes and performance measures and their effect on...

In the present day business environment, customer satisfaction is a pre-requisite for providing good service to the customer. The present day market is a customer driven market and only those who can fulfill customer demands at minimal rate and in shortest time can share a greater market share. Owing to the aforementioned factors, the problem of cu...

In this paper a complex scheduling problem in flexible manufacturing system (FMS) has been addressed with a novel approach called knowledge based genetic algorithm (KBGA). The literature review indicates that meta-heuristics may be used for combinatorial decision-making problem in FMS and simple genetic algorithm (SGA) is one of the meta-heuristics...

In the present era, several manufacturing philosophies like lean manufacturing, total quality management (TQM), etc., have the goal of providing a quality product at reduced cost. In this research paper the process planning problem of a CIM system has been discussed where minimisation of cost of the finished product is considered as the main object...

In the current strong competitive industrial context, enterprises must react quickly to the market changes. In order to face this problem, enterprises must be flexible and collaborate together. Both the flexibility and collaboration requires high communication between various information systems at one hand and on the other hand the compatibility o...

A typical Flexible Manufacturing System (FMS) has been studied under Planning Design and Control (PDC) strategies. The chief objective is to test the impact of design strategy (routing flexibility) on system performance under planning strategy (alternate system load condition) with control strategies (sequencing and dispatching rules). A computer s...

In this paper, we present a Knowledge Based Genetic Algorithm (KBGA) for the scheduling of Flexible manufacturing system. The proposed algorithm integrates the knowledge base for generating the initial population, selecting the individuals for reproduction and reproducing new individuals. From the literature, it has been seen that simple genetic-al...

Supply chains are increasingly needed to work with core competencies of a flexible system enriched with Knowledge Management (KM). An integrated decision making amongst autonomous chain partners focused on suitable knowledge sharing is required to derive superior operational performance from flexibility based core competency in supply chains. Evolv...

A typical Flexible Manufacturing System (FMS) has been studied under Planning, Design and Control (PDC) strategies. The chief objective is to test the impact of design strategy (routing flexibility) on system performance under given planning strategy (alternate system load condition) and control strategies (sequencing and dispatching rules). A comp...

This research presents a novel approach to solve m-machine no-wait flow shop problem. A continuous flow shop problem with total flow time as criterion is considered. This paper extends the artificial immune system (AIS) approach by proposing a new methodology termed as Psycho-Clonal algorithm. Proposed algorithm enjoys the flavor of AIS and Maslow'...