Expert system for production planning of perishable goods

Author(s):  
Andrzej Gospodarowicz ◽  
Ewa Kania ◽  
Stanislaw Krawczyk ◽  
Mieczyslaw Rymarczyk ◽  
A. Min Tjoa

2013 ◽  
Vol 52 (49) ◽  
pp. 17538-17553 ◽  
Author(s):  
Pedro Amorim ◽  
Douglas Alem ◽  
Bernardo Almada-Lobo




2022 ◽  
pp. 266-303
Author(s):  
Guy Coulthard ◽  
Carl Baxter ◽  
Tu Van Binh

Demand forecasting and production planning are challenging issues when working to supply perishable goods to fulfil supermarket requirements as opposed to dry goods that can be manufactured and have a fixed storage life. The focus of this report is on the improvement of resource utilisation through better forecasting, planning, and information flow. There is a fluctuation for labour demand within the processing function; controlling the number of staff daily is vital to the efficient running of production and waste reduction. It is the belief for the management that left unchecked the production planners can tend to overorder staff as a contingency.





2016 ◽  
Vol 848 ◽  
pp. 259-262
Author(s):  
Prin Boonkanit ◽  
Noppawan Charoenkid

The objective of this research is to develop the expert software to use for planning the production process and quality control. Starting from collecting the data of knowledge, and expertise experiences, to analyze, design, tests and record in systematic ways. By using the forward chaining inference and knowledge acquisition subsystem, writing with SQL and developing by Oracle to work on Unix server and exporting through Microsoft Excel for the convenient working. Process and decision procedures show after feeding the data into the system, for estimation and sending the results to program page. According to the set up pattern, experts spend 60 minutes for a piece of work manually. After introducing this system, experts are able to reduce time consumption by 98.33 %. Previously they spend 45 minutes/120 yards to check of fabric. Time consumption is reduced 55.55%, this means the increasing production result of 3,072 yards/day and the average cost is 61,440 baht/day. The investment is paid back within 26 days. This system can be used without experts who have estimation experiences. It does not need any specialized persons. This is the way to preserve the knowledge and solve the problems which may occur at the workplace. It is the foundation for managing the value added production system to be stable and sustainable.



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