Taking into account competitive markets, manufacturers attend more customer’s personalization. Accordingly, build-to-order systems have been given more attention in recent years. In these systems, the customer is a very important asset for us and has been paid less attention in the previous studies. This paper introduces a new build-to-order problem in the supply chain. This study focuses on bo...

Association rule mining (ARM) is the process of generating rules based on the correlation between the set of items that the customers purchase.Of late, data mining researchers have improved upon the quality of association rule mining for business development by incorporating factors like value (utility), quantity of items sold (weight) and profit. The rules mined without considering utility val...

Usage Context-Based Design (UCBD) is an area of growing interest within the design community. Usage context is the set of scenarios in which a product (or service) is to be used, including the environments in which the product is used, the types of tasks the product performs, and the conditions under which the product is purchased and operates. It is proposed in this work that in choice modelin...

We consider queueing systems where a finite number of customers arrive over time to a service system, consisting of either a single or multiple servers. The arrival of customers is driven by appointments, with a scheduled appointment time associated with each customer. However, customers are not necessarily punctual and may arrive either earlier or later than their scheduled appointment times. ...

Online shopping has become the third most popular Internet activity after using e-mails and entertainment. An important type of online shopping is online consumer to consumer auction (C2C) where consumers are able to sell and buy directly online. Although C2C online auctions could be an opportunity to enhance e-commerce in developing countries, many internet users are not willing to use it. Thi...

Geographic Information Systems (GIS) offer the ability to capture and process large amounts of spatial data, integral to the success of utility companies. Rising competition due to privatization and globalization, as well as the increasing pace of digitization and technology adoption, have driven utility providers to focus on low-cost uninterrupted customer service. A holistic revamp of the GIS...

High-utility itemset mining is the task of discovering highutility itemsets, i.e. sets of items that yield a high profit in a customer transaction database. High-utility itemsets are useful, as they provide information about profitable sets of items bought by customers to retail store managers, which can then use this information to take strategic marketing decisions. An inherent limitation of ...

In Frequent Itemset Mining each item in transaction is represented by a binary value means 1 for present and 0 for absent. But There are several other parameter are also important like quantity, price or and profit of each item. Quantity, price or and profit these parameter are important in retail markets to find high utility itemset. High utility item set are those items which have utility val...

In an uncertain and competitive environment, product portfolio management (PPM) becomes more challenging for manufacturers to decide what to make and establish the most beneficial product portfolio. In this paper, a novel approach in PPM is proposed in which the environment uncertainty, competitors’ behavior and customer’s satisfaction are simultaneously considered as the most important criteri...

Although the importance of locating in manufacturing and service companies is not a new issue, one of significance applications is to determine the appropriate location for warehouses in manufacturing workshops warehouses to the maintenance of materials or products. In any organizations, Finding the suitable site for warehouses establishments to increase customer service and efficiency is one o...