College of Management and Economics

About: College of Management and Economics is a based out in . It is known for research contribution in the topics: Supply chain & Stock market. The organization has 2184 authors who have published 2193 publications receiving 28830 citations.

Comprehensive Six Sigma application: a case study

Abstract: Six Sigma as a framework for eliminating defects at the project level and improving performance and customer satisfaction at the corporate level has been generally recognised. This case-oriented paper reports an important Six Sigma management case study at the world’s largest cold rolling mill situated in China. The descriptions of measures taken at the company level, as well as that of the exemplary application experience of this company, would constitute a most comprehensive account of the impact brought about by Six Sigma to the company. A Black Belt project was conducted to improve the cold rolling capability to meet the thickness requirements using the Six Sigma methodology – DMAIC (define, measure, analyse, improve and control) principle. The implementation of Six Sigma methodology led to a significant financial impact on the profitability of the company. Seven key factors were also found to be instrumental to the successful Six Sigma management implementation in the company.

Green process innovation and differentiated pricing strategies with environmental concerns of South-North markets

Abstract: This paper investigates the green process innovation and differentiated dynamic pricing strategies for a Southern firm under a two-market framework where a North country imposes a carbon tariff and a South country announces an emission cap. Results from the dynamic optimization problem show that carbon tariff decreases innovation, domestic price, the firm’s profit and the Southern social welfare but increases foreign price. A less strict binding emission cap enhances innovation, the firm’s revenue and the Northern social welfare but cuts domestic price. The domestic price can be higher, lower or intersect with its counterpart in the North under different situations.

Solution to the Time-Cost-Quality Trade-off Problem in Construction Projects Based on Immune Genetic Particle Swarm Optimization

Abstract: The importance of time-cost-quality trade-off in construction projects has been widely recognized by the construction industry. In this paper, we develop an integrated optimization model on the basis of improved time-cost and quality-time models. We improve the traditional cost-time model by taking reward and punishment into consideration. Further, we build a new quality model, called quality performance index (QPI), to describe system reliability. The avoidance of assigning the node weights and referring to expert experience adds to the practicality of the quality calculation. In the process of decision-making, we use contractual time, cost, and quality as benchmarks for evaluation of feasible solutions. Then, we combine an immune genetic algorithm with a constriction factor particle swarm optimization to get a new algorithm, called immune genetic particle swarm optimization (IGPSO). We test the effectiveness of IGPSO using two typical test functions and solve a practical example. Optimization re...