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This paper proposes sheet thickness determination in manufacturing of laminated dies as an optimization problem. The aim of this optimization procedure is finding the best set of thicknesses which minimizes the volume deviation between actual computer‐aided design (CAD) model and assembled slices.

This works uses a modified version of genetic algorithms for the optimization purpose. Each set of thicknesses that can cover the whole CAD model surface is considered as a chromosome. Genetic operators such as crossover and mutation have to be modified to be used in this application.

A new method for finding the total volume deviation between assembled slices and the actual CAD model was developed in this research. On the other hand, the results show how the program can automate the slice plane locations search process.

Premature convergence does not allow the algorithm to search the entire solution space before getting trapped in a local optimum. Even the mutation operator cannot postpone this untimely convergence.

The proposed method is a good substitute for the manual methods that are currently used in industry. These experience‐based methods are mostly based on the decision made by a well‐trained technician on picking up the thicknesses for a specific CAD model.

This is the first attempt at optimizing the slicing method in laminated tooling. Other methods are mostly based on rapid prototyping (RP) and they are not applicable in the laminated tooling process since, despite RP, here not all optimization outputs can be used in practical procedure.

Due to an uncertainty between actual model and assembled slices, there is always an extra material on assembled slices in laminated tooling. Therefore, a post processing, usually CNC machining, is required to remove this extra material and reach the near net shape surface for final product. One of the issues in laminated tooling is to minimize the amount of this extra material and reduce the cost of the post processing. Direction of slicing is an important parameter in this issue. This research aims to introduce a method to find the best slicing direction based on CAD model surface geometry and minimize the amount of the extra material in the assembled slices. Researches on the best slicing direction investigation so far were mostly based on the extra volume calculation for a number of candidate directions. Since the time needed for the extra volume calculation is proportionally high, the number of candidate directions to be investigated was usually limited, whereas, in the proposed method, the best slicing direction is found based on CAD model surface geometry and there is no need to find the actual amount of the extra volume. Moreover, the suggested method is developed to the cases where having more than one slicing direction is desirable for more reduction in the amount of the extra volume. The proposed optimization method can be used to find the best slicing direction in laminated tooling. Moreover, the ability to suggest multiple slicing directions can provide more reduction for the amount of the extra material. However, the number of candidate directions in the case of multiple slicing directions is limited due to joining problems in laminated tooling.

The investigation is based on the situation of normal vectors on CAD model surface. The CAD model surface is considered as a combination of planar tiles and all normal vectors of these tiles are considered as the candidate directions. This provides a number of candidates that can cover almost all possible slicing directions. The best slicing direction is then found by estimating the amount of the extra material produced on the tiles by each normal vector.

The proposed method applied to some examples. The case studies included the simple predictable models to qualify the reliability of the proposed method. Also more applicable examples were provided to show how the suggested method acts in real cases.

The proposed method can be applied to each and every CAD model. Therefore, there is no limitation with regard to the type of model which can be investigated by the proposed method. However, there is limitation on the number of times the building direction can be changed in laminated tooling.

The proposed method can be employed to reduce the post processing time in laminated tooling.

Following the prior study researchers conducted in optimization of laminated dies, another parameter, slicing direction, is considered in this research. This brings a new approach on laminated dies optimization to reduce the production cost.

This paper aims to determine a scale for measuring psychological factors of apparel-buying intention for young Indian online shoppers.

Churchill’s three-stage systematic scale-development methodology is used to develop a psychometric scale. Items were generated and selected in Phase I, followed by scale refinement in Phase II and scale validation in Phase III.

The final scientifically validated scale has 36 item scales that measure 10 psychological factors of apparel online-buying intention for online shoppers, from which “perceived value” emerged as the most significant factor.

This scale is a sector-specific scale that cannot be generalized to other sectors; therefore, further iterations/customizations should be made in future studies for applicability in other sectors.

This reliable and valid scale will help marketing managers to understand online shopper behavior and formulate effective strategies for online shoppers.

This paper, to the author’s knowledge, is the first attempt to develop a validated tool to measure the psychological factors of apparel-buying intention for young Indian online shoppers. This scale encompasses all important touch-points in measuring psychological factors influencing online buyer behavior for apparel products.

The case illustrates the social entrepreneurial journey of Ramdev who developed Patanjali Yogpeeth as a successful enterprise that provides low-cost physical and mental treatment through the ancient science of yoga. The case provides a perspective on the reasons for the success of Patanjali as a social brand in such a small time scale and also addresses the controversies associated with it.

Using secondary sources, the study describes the philosophy, infrastructure, innovations, marketing and promotional practices of the organization. It also seeks answers to the challenges faced by the social entrepreneur to fulfill his social mission.

The case is best suited for courses on entrepreneurship, social entrepreneurship and marketing of non-profit organization in both MBA and executive programs. Students who have an interest in starting their own venture or social enterprise will find it more relevant and interesting.