Optimization of Customer Order Processing for the Pizza Chains

2020 ◽  
pp. 25-34
Author(s):  
Jarosław Wikarek ◽  
Paweł Sitek
Keyword(s):  
Order Processing ◽  
Customer Order

scholarly journals A Dynamic Clustering Method to Large-Scale Distribution Problems

2015 ◽  
Vol 3 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Zhizhong Tang ◽  
Bo Li ◽  
Hongyan Qiu
Keyword(s):  
Fuzzy Clustering ◽  
Large Scale ◽  
Dynamic Clustering ◽  
Clustering Method ◽  
Order Processing ◽  
Customer Order ◽  
Vehicle Loading ◽  
Fuzzy Clustering Method ◽  
Two Phases ◽  
Customer Orders

AbstractThis paper presents the dynamic fuzzy clustering method to solve the multi-producers to multi-customers large-scale distribution problem. The proposed method includes three phases: Static clustering, order processing, and dynamic clustering. Based on the distances among customers,k-means method is used to generate the static clusters. The service priorities of each producer serving the static customer groups are ranked according to the distance performance. In the case of fluctuant customer orders, order processing can divide customer orders into several consecutive periods. After the above two phases, the fuzzy clustering technique is applied to further conduct dynamic clustering based on the customer order attributes. Similarly, the service priorities of generated dynamic customer groups will be ranked according to the time attributes of orders. Finally, by the real case, the authors obtain the conclusion that using the proposed method, the total cost of the producer is reduced by about 35%, and the vehicle loading rates are almost above 95%.

Integrated Product and Production Data Management Based on Generic Bill of Materials and Operations to Support Mass Customization Production

1999 ◽  
Author(s):  
Jianxin Jiao ◽  
Mitchell M. Tseng ◽  
Qinhai Ma ◽  
Yi Zou
Keyword(s):  
Data Management ◽  
Mass Customization ◽  
Capacity Planning ◽  
Production Data ◽  
Engineering Change ◽  
Order Processing ◽  
Bill Of Materials ◽  
Planning And Control ◽  
Customer Order ◽  
Control Production

Abstract This paper discusses the integrated product and production data management for mass customization production which is characterized by a large number of variety. A data structure, called Bill-of-Materials-and-Operations (BOMO), is proposed for the purpose of unifying BOMs and routings in order to facilitate better production planning and control, as well as order processing and engineering change control. To deal with variety effectively, a generic BOMO concept is put forward based on an understanding of a generic variety structure developed in the paper for characterizing variety. The merits of the generic BOMO for integrated product and production data management are detailed in terms of customer order processing, engineering change control, production job planning, costing, and integrated material and capacity planning. A prototype implementation of the proposed generic BOMO methodology in souvenir clock manufacturing is also reported.

Using Electronic Data Interchange (EDI) to Improve the Efficiency of Accounting Transactions

2002 ◽  
Vol 77 (4) ◽  
pp. 703-729 ◽  
Author(s):  
Shannon W. Anderson ◽  
William N. Lanen
Keyword(s):  
Information Technology ◽  
Processing Time ◽  
Electronic Data Interchange ◽  
Order Scheduling ◽  
Negative Effects ◽  
Electronic Data ◽  
Order Processing ◽  
Data Interchange ◽  
Using Data ◽  
Office Furniture

Electronic data interchange (EDI) is an information technology that standardizes the exchange of information between transacting parties. Using data from a major U.S. office furniture manufacturer that adopted EDI primarily to improve the efficiency of accounting transactions, we evaluate whether EDI reduces order-processing time (the time from sales order receipt to sales order scheduling) and whether this improvement is greater for more complex orders. Our measure of complexity reflects both the mix of different products the dealer orders as well as features and options the dealer selects for each product in the order. We find that EDI is associated with faster order processing, independent of complexity, and that EDI mitigates most of the negative effects of complexity on processing time. We also find that dealers learn to submit error-free orders to the manufacturer, and that previous errors provide feedback that helps dealers submit more accurate orders. However, we find only mixed evidence that order complexity impedes learning.

A multi-agent system for sales order processing

intelligence ◽  
2001 ◽  
Vol 12 (3) ◽  
pp. 32-42
Author(s):  
Abdul Sakib Mondal ◽  
Ayush Kumar Jain
Keyword(s):  
Multi Agent System ◽  
Agent System ◽  
Order Processing ◽  
Multi Agent
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