• Journal of the Korea Safety Management & Science
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• v.18 no.4
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• pp.185-193
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• 2016

Now, many studies of industrial field are focusing on the whole optimization of SCM. But, the reason for making simultaneity of the whole system of SCM difficult is reduced scale of studies on ordering area in SCM reducing the complexity. It's an important issue how to allocate orders in the environment of many suppliers under special situation. Through this thesis, this research intends to expect systematic and arranged supply of distribution area which can make a decision while allocating product orders and quantity and maintaining service standard suggested by minimizing total purchase costs.

• Industrial Engineering and Management Systems
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• v.11 no.2
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• pp.155-164
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• 2012

As the global market becomes more competitive, manufacturing industries face relentless pressure caused by a growing tendency of greater varieties of products, shorter manufacturing cycles and more sophisticated customer requirements. Efficient and effective supplier selection and order allocation decisions are, therefore, important decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular, when customers are willing to accept products with less desirable product attributes (e.g., color, delivery date) for economic reasons. This paper attempts to solve optimally the challenging problem of supplier selection and order allocation, taking into consideration the customer flexibility for a manufacturer producing multi-products to satisfy the customers' demands in a multi period planning horizon. A new mixed integer programming model is developed to describe the behavior of the supply chain. The objective is to maximize the manufacturer's total profit subject to various operating constraints of the supply chain. Due to the complexity and non-deterministic polynomial-time (NP)-hard nature of the problem, an improved genetic approach is proposed to solve the problem optimally. This approach differs from a canonical genetic algorithm in three aspects: a new selection method to reduce the chance of premature convergence and two problem-specific repair heuristics to guarantee feasibility of the solutions. The results of applying the proposed approach to solve a set of randomly generated test problems clearly demonstrate its excellent performance. When compared with applying the canonical genetic algorithm to locate optimal solutions, the average improvement in the solution quality amounts to as high as ten percent.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.125-134
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• 2014

Supply Chain Management(SCM) is getting important, because size of the company is getting bigger and the kinds of product are various. In the case of manufacturing corporation, for the optimization of SCM, we have to make production and distribution plan by considering the various fluctuation in the aspect of integration. In this paper, first, It proposed the reasonable operational way of the SCM about when the customer's demanding is various and demanding expectation fluctuates in capacity standardization of producer stage. Second, the paper proposed the management way for demanding by considering confirmed demanding information, related inventory expense and demanding shortage expense when we make production and distribution plan. The paper applied the genetic algorithm proved for current usefulness. it proposed the optimal operational way for SCM by dividing into 2 ways for dealing with the duration of confirmed demanding information and various fluctuation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.954-957
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• 2007

The u-SCM to persue unification of the whole Supply Chain through ubiquitous computing and technical interface is raised its head for enterprise to secure endless competitive advantage and grow up constantly. This can be especially a matter of primary concern for business process elevation on various industry. The other side, The Traceability Service propelled both nationally and internationally is propelled specific industry to offer visibility and traceability of each manufacture on supply chain related to induce RFID, but standard Traceability Service Architecture isn't decided yet. This paper propose Model of Product Traceability Service which is based on EPCglobal Network to be the whole world standard architecture for the sake of efficient and perfect manufacture management on entire supply chain based on RFID.

• Proceedings of the CALSEC Conference
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• 2001.02a
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• pp.11-30
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• 2001

Session Agenda ㆍ E-Business Economy - B2B · What is C-Commerce？ - Marketplace or Businessplace？ ㆍ C-Commerce Business Models - Horizontal, Industry, Private ㆍ C-Commerce via Exchange Solution Models - Marketplace Exchange - Supply Chain Exchange - Product Development Exchange ㆍ Integration is key... NOT Functionality(omitted)

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.137-144
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• 2017

The purpose of this study is to examine the effectiveness of Customer Relationship Management (CRM) factors in the Supply Chain Management (SCM) context focusing on ashion apparel company. Especially, this study reveals whether a long term relationship is beneficial for all businesses regardless of negotiation power leverage. To this end, the mixed research methods that combined qualitative and quantitative approaches were conducted. The findings of this study are as follows: First, the research model which is CRMs for interactive relationship building were developed. Second, cause-and-effect relationships in the proposed model were partially supported depending on CRMs. The most effective CRMs offered are a guarantee of sales and a special discount. Customized products and quality, convenience, competitive pricing, and development of a product/system/service were effective to ultimately increase a switching cost.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.1
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• pp.55-65
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• 2021

In this paper, a methodology for reinforcing reverse logistics (RL) activities in a closed-loop supply chain (CLSC) model is proposed. For the methodology, the activities of the recovery center (RC) which can be considered as one of the facilities in the RL are reinforced. By the reinforced activities in the RC, the recovered parts and products after checking and recovering processes of the returned product from customer can be reused in the forward logistics (FL) of the CLSC model. A mathematical formulation is suggested for representing the CLSC model with reinforced RL activities, and implemented using a hybrid genetic algorithm (HGA) approach. In numerical experiment, two different scales of the CLSC model are presented and the performance of the HGA approach is compared with those of some conventional approaches. The experimental results show that the former outperforms the latter in most of performance measures. The robustness of the CLSC model is also proved by regulating various rates of the recovered parts and products in the RC.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.62-70
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• 2020

As an effective means of price discrimination, some suppliers offer trade credit to the distributors in order to stimulate the demand for the product they produce. The availability of the delay in payments from the supplier enables discount of the distributor's selling price from a wider range of the price option in anticipation of increased customer's demand. Since the distributor's lot-size is affected by the demand for the customer, the distributor's lot-size and the selling price determination problem is interdependent and must be solved at the same time. Also, in many common business transactions, the distributor pays the shipping cost for the order and hence, the distributor's ordering cost consists of a fixed ordering cost and the shipping cost that depend on the order quantity. In this regard, we deal with the joint lot-size and price determination problem when the supplier allows delay in payments for an order of a product. The positive effects of credit transactions can be integrated into the EOQ (economic order quantity) model through the consideration of retailing situations, where the customer's demand is a function of the distributor's selling price. It is also assumed that the distributor's order cost consists of a fixed ordering cost and the variable shipping cost. We formulate the distributor's mathematical model from which the solution algorithm is derived based on properties of an optimal solution. A numerical example is presented to illustrate the algorithm developed.

• The Journal of Information Systems
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• v.25 no.1
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• pp.25-47
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• 2016

Purpose In this study, the relationships among environmental information exchange with suppliers(EIES), green collaboration with suppliers, green learning by environmental information, the adoption of green supply-chain management techniques(AGSMT) (i.e., the green purchasing, product design and production, and the recovery of extra facilities and inventories), environmental performance, and the organizational performance of a firm were empirically investigated. Design/methodology/approach Data for this study were drawn from a survey of the current status of EIES levels and AGSMT usage observed in Korean manufacturing firms. In total, 500 organizations were randomly selected from a population of about 1,000 firms that are listed on the Korean stock market. In order to collect empirical data, this research administered questionnaires with the sample firms. Only chief production executives were selected as respondents. A questionnaire with a cover letter was mailed to each respondent. The survey was conducted during a 3-month period between March 2015 and June 2015. Finally, 78 valid data of the sample firms were collected. Findings The results of this study showed that EIES positively affects the green corporation and learning. According to the results, it was observed that both green corporation and green learning have a positive impact on the levels of AGSMT(i.e., the green purchasing, product design and production). It was also demonstrated that AGSMT has a direct positive impact on environmental performance. In examining the effects of environmental performance on the organizational performance of a firm, significant impact was found.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.270-276
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• 2020

In this paper, we analyze the buyer's joint pricing and lot-sizing model in a two-stage supply chain consisting of the supplier, the buyer and the customer. It is assumed that the supplier will permit a certain fixed period for settling the amount the buyer owes to him for the items supplied in order to stimulate the demand for the product. Generally, credit transactions would have a positive effect to the buyer. The availability of credit transactions from the supplier effectively reduces the cost of holding stocks for the buyer and therefore, the buyer has a lot of price options to choose his sales price for a customer in anticipation of increased the customer's demand and, as a result, it will appear to increase the buyer's inventory levels. On the other hand, in the case of decaying products in which their utility decay over time, the decaying rate with time may be expected to reduce inventory levels. In this regard, we need to analyze how much the length of credit period and the decaying rate affect the buyer's pricing and lot-sizing policy. For the analysis, we consider the situation where the customer's demand is represented as a linearly decreasing function of the buyer's sales price. From this perspective, we formulate the buyer's annual net profit and analyze the effect of the length of credit period and decaying rate of the product on the buyer's inventory policy numerically.