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The paper presents an industry case study on modeling and forecasting product returns in remanufacturing industry. Based on return patterns of 36 products over 20 months, Holt's and ARIMA methods are identified as the appropriate methods to forecast the future returns of 36 products. To decide which method is more accurate for forecasting the future return of each product, we use MAE, MAPE, and RMSE...
This paper proposes a decision-making method of load interaction mode for demand response by using fine analysis and intelligent decision on the user's load characteristic curve and indexes, which can achieve the effective interaction between grid-side and user-side, provide users with interaction recommendations, and assist the effective implementation of demand response program. Firstly, the intelligent...
In order to support the development of the smart grid and the demand side management, this paper designs and implements a regional energy management system (R-EMS) considering demand response (DR). The R-EMS can realize the information linkage between the regional energy management and single-point energy management. Firstly, the design requirements and architecture of the system are proposed. And...
Untimely or uncontrolled release of work orders into production creates variance in production and in turn leads to high work-in-process and increased average throughput time, high conversion rate and unbalanced production line. In the HMLV manufacturing environment (e.g. Precision Engineering industry), the massive product mix, low production quantity, and the multitude of production constraints...
Roll-to-Roll (R2R) processing is a complex production system which involves discrete and continuous processes. Raw materials, in the form of rolls of functional film, go through their own unique routes of different process machines. This complexity makes it difficult to estimate and measure production performances and how well the performances will be a vital factor to determine the adoption of the...
According to the two problems of huge amounts of data and how to use them in the process of intelligent power consumption construction, combined with the advantages of cloud computing and related technical methods of business intelligence system, in paper, architecture of business intelligence platform based on cloud computing has been put forward, and compared with traditional architecture of business...
Effective utilization and management of production capacity have significant impact to the success of a manufacturing enterprise. In a complex manufacturing environment, the development of a feasible capacity allocation mechanism is a challenging task. In this paper, the issue of achieving balanced capacity allocation for effective planning of production resources was addressed in a medium- to long-term...
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