In pursuing carbon emission reduction efforts, companies have focused for the most part on reducing emissions due to the more efficient equipment and facilities. However they overlook a significant source of carbon emissions, one that is driven by operational policies. Currently companies are looking for solutions to reduce carbon emissions associated with their operations. Operational adjustments, such as modifications in order quantities could an effective way in reducing carbon emissions in the supply chain. Also, Cap-and-Trade mechanism is generally accepted as on of the most effective market-based mechanism to reduce carbon emissions. In this paper, we investigate a supply chain with single manufacturer and multiple retailers multi-product inventory model under the cap-and-trade system incorporating the carbon emissions caused by transportation and warehousing activities. Also, we provide an iterative solution algorithm and derive the common order interval and the number of intervals for each product. We show by numerical example that the inventory model incorporating cap & trade mechanism can reduce total cost and carbon emissions compared to the classical inventory model. Using the numerical examples, we also investigates different carbon price on the performance of the inventory model.

In this paper, we investigate an inventory system where a single manufacturer purchases and processes raw materials in order to deliver finished goods to multiple retailers. Earlier study in this type of supply chain only consider a single raw material in

In this paper, we consider a single-vendor single-buyer supply chain problem where a single vendor order raw materials from its supplier, then using its manufacturing processes converts the raw materials to finished goods in order to deliver finished good

This paper considers a coordinated scheduling problem between multi-suppliers and an manufacture. When the supplier has insufficient inventory to meet the manufacture's order, the supplier may use the expedited production and the expedited transportation. In this case, we consider a scheduling problem to minimize the total cost of suppliers and manufacture. We suggest an population management genetic algorithm with local search and crossover (GALPC). By the computational experiments comparing with general genetic algorithm, the objective value of GALPC is reduced by 8% and the calculation time of GALPC is reduced by 70%.

The purposes of this study were to assess th importance and performance of food suppliers and to explore the ways to improve the school foodservice purchasing management. The questionnaire regarding purchasing was composed of two parts. The part one consisted of questions on general characteristics of dieticians and school foodservice operations, and the part two was composed of questions on the importance & performance of food suppliers. Completed questionnaires were received from 286 dieticians of elementary school foodservice operations in Seoul. Statistical data analysis was completed using the SPSS/win for descriptive and t-test. In dieticians' demographic data, 36.6% were over 30 years old, 32.4% were 28~29 years of age and 31.0% were below 27years old. Most of the respondents(68.3%) had overall working experiences less than 58 months and almost half of them(56.3%) were married. The school foodservice operations which employed a chef were 50.3%. The food suppliers' attributes that were recognized by the dieticians with high value of mean importance scores were: food quality, maintenance of food quality, accuracy in filling orders, quality of delivery facilities, on time delivery and packaging. Average mean score for importance was 4.33('important') out of 5 and mean score for performance was 3.50('so-so') out of 5. By IPA techniques, the attributes that deserve higher attention were those that ranked high in importance and low in performance(Quadrant A). The coordinates in Quadrant A were geographical location of supplier, maintenance of food quality, provision of information on cost variation and salesman's knowledge.