Stocking Under Random Demand and Product Variety: Exact Models and Heuristics

2021 ◽  
Author(s):  
Vashkar Ghosh ◽  
Anand Paul ◽  
Lingjiong Zhu
Keyword(s):  
Product Variety ◽  
Random Demand

Rural Consumer Shopping Behavior Towards Organized Retailing (A Special Reference to Rayalaseema Region (A.P), India)

2019 ◽  
Vol 118 (7) ◽  
pp. 155-160
Author(s):  
Dr. Sunil Kumar. E
Keyword(s):  
Special Reference ◽  
Customer Loyalty ◽  
New Products ◽  
Product Variety ◽  
Internet Usage ◽  
Shopping Behavior ◽  
Satisfaction Level

In the present scenario of retail surroundings there are some who love shopping and some who dis-like it. People have many ways when the time comes to where they shop; they can shop from home or venture out to the store. Shopping has never been as fast and convenient as it is today. Technology is more in-advanced and internet usage is growing rapidly. In such an active scenario, what must retailers do to succeed while simultaneously ensuring that the consumer wins. The study of the research is done on the footing of shopping behavior and its satisfaction level towards organized retail by the analysis of regression & ANOVA. It is proved that success of the rural organized business is its quality, promotional, range & merchandise. Also assure product variety and availability of new products to enhance customer loyalty.

When Less is More: Estimating the Effect of Product Variety on Retail Operational Performance

2017 ◽  
Author(s):  
Kevin Sweeney ◽  
Yuliang Yao ◽  
Robert J. Windle ◽  
Yongrui Duan ◽  
Jiazhen Huo
Keyword(s):  
Product Variety ◽  
Operational Performance ◽  
Less Is More

scholarly journals Exploring the application of machine learning to the assembly line feeding problem

2021 ◽  
Author(s):  
Moretti Emilio ◽  
Tappia Elena ◽  
Limère Veronique ◽  
Melacini Marco
Keyword(s):  
Machine Learning ◽  
Assembly Line ◽  
Optimal Solution ◽  
Product Variety ◽  
Supervised Machine Learning ◽  
Assembly System ◽  
Optimization Approach ◽  
Feeding Problem ◽  
Managerial Implications ◽  
Multiple Feeding

AbstractAs a large number of companies are resorting to increased product variety and customization, a growing attention is being put on the design and management of part feeding systems. Recent works have proved the effectiveness of hybrid feeding policies, which consist in using multiple feeding policies in the same assembly system. In this context, the assembly line feeding problem (ALFP) refers to the selection of a suitable feeding policy for each part. In literature, the ALFP is addressed either by developing optimization models or by categorizing the parts and assigning these categories to policies based on some characteristics of both the parts and the assembly system. This paper presents a new approach for selecting a suitable feeding policy for each part, based on supervised machine learning. The developed approach is applied to an industrial case and its performance is compared with the one resulting from an optimization approach. The application to the industrial case allows deepening the existing trade-off between efficiency (i.e., amount of data to be collected and dedicated resources) and quality of the ALFP solution (i.e., closeness to the optimal solution), discussing the managerial implications of different ALFP solution approaches and showing the potential value stemming from machine learning application.

scholarly journals SUPPORT FOR MANAGING PARTLY CONFIGURABLE MODULAR SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2791-2800
Author(s):  
Jarkko Pakkanen ◽  
Teuvo Heikkinen ◽  
Nillo Adlin ◽  
Timo Lehtonen ◽  
Janne Mämmelä ◽  
...  
Keyword(s):  
Portfolio Management ◽  
Product Variety ◽  
Added Value ◽  
Modular System ◽  
Product Management ◽  
Design Decision ◽  
Product Portfolio ◽  
Modular Systems ◽  
Engineer To Order ◽  
The Impact

AbstractThe paper studies what kind of support could be applied to the management of partly configurable modular systems. The main tasks of product management, product portfolio management and product variety management are defined. In addition, a partly configurable product structure and modular system are defined. Because the limited support in the literature for managing partly configurable modular systems, the article reviews previous product development cases in which authors have been involved on lessons learnt basis, i.e., if the methods and tools used in the cases could provide support for the research objective. As a result, the existing definition of the modular system should be extended by the concepts of non-module and design decision sequence description when dealing with partly configurable modular systems. This is because engineer-to-order should be made possible in cases where it brings clear added value to the customer compared to completely pre-defined solutions that may limit the customer's interest in the offering. Tools to assess the impact of changes to the product offering are required. These should be taken into account in frameworks that are used in method and tool development.

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