B. Mahadevan

Business Models for Internet-Based E-Commerce: An Anatomy

The success of Internet-based businesses in the business-to-customer segment in recent years has been impressive. It is widely projected that the business-to-business segment is poised for a spectacular growth as well. However, a consistent definition and a framework for a business model for Internet-based business is still non-existent. This article proposes a three-dimensional framework for defining a business model and applies it to the emerging market structure. It also identifies certain factors that can guide organizations in their choice of an appropriate business model.

An assignment model for the part-families problem in group technology

SUMMARY The problem of grouping of parts has been addressed in the past using clustering methods and integer programming. This paper presents an assignment model to solve the grouping problem. A similarity coefficient matrix is used as the input to the assignment problem. Closed loops in the form of subtours are identified after solving the problem and are used as the basis for grouping. The method has been applied to a number of examples. Compared with the earlier mathematical programming model, viz., the p-median model, the assignment method emerges as a distinctly superior technique both in terms of quality of solution and computational time.

Periodic review, push inventory policies for remanufacturing

Sustainability has become a major issue in most economies, causing many leading companies to focus on product recovery and reverse logistics. This research is focused on product recovery, and in particular on production control and inventory management in the remanufacturing context. We study a remanufacturing facility that receives a stream of returned products according to a Poisson process. Demand is uncertain and also follows a Poisson process. The decision problems for the remanufacturing facility are when to release returned products to the remanufacturing line and how many new products to manufacture. We assume that remanufactured products are as good as new. In this paper, we employ a “push” policy that combines these two decisions. It is well known that the optimal policy parameters are difficult to find analytically; therefore, we develop several heuristics based on traditional inventory models. We also investigate the performance of the system as a function of return rates, backorder costs and manufacturing and remanufacturing lead times; and we develop approximate lower and upper bounds on the optimal solution. We illustrate and explain some counter-intuitive results and we test the performance of the heuristics on a set of sample problems. We find that the average error of the heuristics is quite low.

Design of an automated guided vehicle-based material handling system for a flexible manufacturing system

SUMMARY Automated guided vehicle (AGV)-based material handling systems (MHSs), which are widely used in several flexible manufacturing system (FMS) installations, require a number of decisions to be made. These include the number of vehicles required, the track layout, traffic pattern along the AGV tracks, and solving traffic control problems. This paper addresses the key issues involved in the design and operation of AGV-based material handling systems for an FMS. The problems arising from multi-vehicle systems are analysed, and strategies for resolving them are examined using analytical and simulation models.

Estimation of number of AGVs for an FMS : an analytical model

Abstract The estimation of the number of vehicles is of paramount importance in AGV-based systems and requires a careful and detailed study, especially when AGVs are selected as the primary material handling system. This paper describes the development of an analytical model for estimation of the number of AGVs. The ability of the model to estimate the vehicle requirements under various conditions have been tested. The results indicate the consistent performance of the model and confirm the utility.

A hybrid modelling approach to the design of an AGV-based material handling system for an FMS

Abstract The problem of organizing and controlling the material handling activity in an AGV-based material handling system for a flexible manufacturing system involves several decisions such as the number of vehicles required for the system, the layout of the tracks, the dispatching rules for the vehicles and the provision of control zones and buffers. This paper demonstrates the use of a two-stage approach for solving the problem. The required number of vehicles is estimated using an analytical model in the first stage. In the next stage, the effects of AGV failures and AGV dispatching rules on the system performance are observed through simulation studies based on which the AGV dispatching rule can be chosen.

Determination of unit load sizes in an AGV-based material handling system for an FMS

Unit load size is a key factor in an automated guided vehicle based material handling system for a flexible manufacturing system. Highlighting this aspect and its importance at the design stage, this paper presents an integer programming formulation of the problem of finding the optimal unit load size. Using an existing analytical model to decide the number of AGVs required, an algorithm based on branching and implicit enumeration and a heuristic have been developed. Revised computations due to dynamic system conditions such as changes in part mix are also possible with the proposed algorithms. The methodologies have been demonstrated using numerical examples.

Impact of supply base heterogeneity in electronic markets

Abstract Internet based marketplaces have enabled industrial buyers to locate suppliers from geographically diverse locations. This has resulted in increased variations in certain supplier parameters such as capacity and cost among the participating suppliers. However, the impact of this increased heterogeneity on the procurement practices are not well understood. In this paper we consider three supplier parameters that can affect the price the buyer pays and the number of suppliers that the buyer will select for award of contract. These attributes are capacity, production cost and demand for supplier’s capacity. We show how these parameters impact the price that a supplier quotes. We also show how the buyer will determine the optimum number of suppliers using a reverse auction mechanism when he does not have perfect knowledge of the suppliers’ parameters. Our model suggests that buyers need to adjust some of the input parameters while procuring capacity from a heterogeneous supply base. For instance, buyers need to pre-qualify more suppliers if the supply base has greater heterogeneity.

Buffer levels and choice of material handling device in flexible manufacturing systems

Abstract The determination of buffer sizes is a key issue in the design of a Flexible Manufacturing System (FMS). A study of FMS installations and the systems indicates the relationship between the buffer capacity and the type of primary and secondary Material Handling Systems (MHSs) employed. A priori knowledge about the buffer requirements enables the FMS designer to select appropriate MHS devices. This paper addresses the issue of determining buffer capacities through simulation. Using response surface methodology for efficient experimentation, the best combination of central and local buffer is obtained.

Impact of Yoga Way of Life on Organizational Performance

Background: Organizational performance can be attributed to a number of factors. However, there are certain organizational factors, the presence or absence of which can determine the success or failure of the organization. There are different ways in which organizations try to improve their performance by working on such factors. In the research presented in this article, an attempt is made to find out whether adoption of the Yoga Way of Life by managers can have a positive impact on such organizational performance indicators. Aims: To measure effect of yoga way of life on five different indicators through an empirical study. Materials and Methods: The five indicators are job satisfaction, job involvement, goal orientation, affective organizational commitment and organizational citizenship behavior. Statistics Analysis: Pre- and post-data was measured using self-reported questionnaire. Independent T-test (Paired) and Pearson’s correlation test were conducted using SPSS. Results and Conclusion: The results of the study show that Yoga has a significant positive impact on four out of five of these indicators. Only job involvement does not show significant improvement. The construct used for measuring job involvement had a Chronbach alpha of 0.613, which is an indicator of moderate reliability, which could be the main reason for not getting positive result.