scholarly journals Salesforce contract design, joint pricing and production planning with asymmetric overconfidence sales agent

2017 ◽  
Vol 13 (2) ◽  
pp. 873-899 ◽  
Author(s):  
Kegui Chen ◽  
◽  
Xinyu Wang ◽  
Min Huang ◽  
Wai-Ki Ching ◽  
...  
Keyword(s):  
Production Planning ◽  
Contract Design ◽  
Joint Pricing ◽  
Sales Agent

Green Profit Maximization Through Joint Pricing and Production Planning of New and Remanufactured Products

2013 ◽  
Author(s):  
Minjung Kwak ◽  
Katherine Koritz ◽  
Harrison M. Kim
Keyword(s):  
End Of Life ◽  
Production Planning ◽  
Environmental Sustainability ◽  
Programming Model ◽  
Profit Maximization ◽  
Mixed Integer ◽  
Market Demand ◽  
Conflicting Objectives ◽  
Joint Pricing ◽  
Buy Back

To achieve “green profit” in their business, manufacturers who produce both new and remanufactured products must optimize their pricing and production decisions simultaneously. They must determine the buy-back price and take-back quantity of end-of-life products as well as the selling prices and production quantities of new and remanufactured products. With an aim to assist in optimal pricing and production planning, this paper presents a mixed-integer programming model that optimizes the three prices (of buyback, new and remanufactured products) and the corresponding production plan simultaneously. The model considers the two conflicting objectives of maximizing economic profitability and maximizing environmental impact saving. The model helps address potential barriers to remanufacturing, which include limited economic, and/or environmental sustainability of remanufacturing, imbalance between the supply of end-of-life products and the market demand for remanufactured products, and cannibalization of the sales of new products. The developed model is illustrated with an example of engine water pump.

Enabling the Digital Thread for Shipbuilding and Shipping

2019 ◽  
Author(s):  
M Grau ◽  
C Gresens ◽  
S Vettermann ◽  
L Wagner
Keyword(s):  
Production Planning ◽  
Design Process ◽  
Information Flow ◽  
Development Process ◽  
Configuration Management ◽  
Contract Design ◽  
Practical Application ◽  
Ship Building ◽  
Operational Life ◽  
Building Systems

Ships are complex, often unique products. They are made of hundreds of thousands to millions of single parts and components which have to be created and placed as part of the design process, managed in bills of materials for part manufacturing or purchasing and assigned to assembly stages for production planning and logistics. In this paper we will present our advances with the practical application of our 2017 analysis results of the differences between dedicated “intent-driven” ship building systems and more general mechanical CAD based systems [1]. Being able to evolve the digital master of the ship along the ship development process from contract design to manufacturing without information flow breaks – and eventually becoming a digital twin during the product’s operational life – is a major digital thread capability. The second important capability is configuration management, enabling involved parties to know which parts are currently valid for design, manufacturing and operation.

A Linear Programming Model for Product Mix Profit Maximization in A Small Medium Enterprise Company

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
S Mohd Baki ◽  
Jack Kie Cheng
Keyword(s):  
Linear Programming ◽  
Production Planning ◽  
Business Performance ◽  
Programming Model ◽  
Profit Maximization ◽  
Optimal Level ◽  
Linear Programming Model ◽  
Product Mix ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.

Improvements to production planning in oil sands mining through analysis and simulation of truck cycle times

CIM Journal ◽  
2019 ◽  
Vol 10 (1) ◽  
Author(s):  
E. Goris Cervantes ◽  
S. P. Upadhyay ◽  
H. Askari-Nasab
Keyword(s):  
Production Planning ◽  
Oil Sands ◽  
Cycle Times ◽  
Oil Sands Mining
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