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      Decision Strategies Based on Meteorological Forecast Information in a Beer Distribution Game

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      https://www.riss.kr/link?id=A104195193

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      다국어 초록 (Multilingual Abstract)

      With the corporate environment nowadays being surrounded by plenty of information, the sharing of information among businesses through mutual cooperation tops the list of hot issues. Predictions of demands from the customer, business, or consumer by s...

      With the corporate environment nowadays being surrounded by plenty of information, the sharing of information among businesses through mutual cooperation tops the list of hot issues. Predictions of demands from the customer, business, or consumer by sharing information can affect the inventory and order production system. However, notwithstanding the importance of sharing information, empirical studies on quantitative use of information still remain insufficient in spite of many a discussion now being made on the sharing of information. This paper proposes to examine the ways meteorological information may affect the rises in the achievements of supply chains in distributive businesses, the kind of information that noticeably affects the consumer behavioral patterns in the distributive businesses but rarely perceived as a form of information shared by businesses. This study is based on a model in which meteorological information has been added as the one used to predict demands, after the beer distribution game has been modified to fit the current status, and simulations under an assumptive situation, where decisions are made on a daily basis, were conducted 50 times for a period of 1000 days for the generalization of the results, while at the same time a Duncan Test was conducted to determine the threshold to use the meteorological information that will be most profitable to the retailer, wholesaler, supplier and the supply chain as a whole. Our findings indicate that corporations have thresholds that vary from business to business depending upon the ratio of backlog costs to inventory costs. At the same time, our findings also show that there existed effective thresholds depending upon the ratio of backlog costs to inventory costs for the performance of the overall supply chain.

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      참고문헌 (Reference)

      1 Lee, K.-K., "The effect of uncertain information on supply chain performance in a beer distribution game-a case of meteorological forecast information" 14 (14): 139-158, 2007

      2 Ray, S., "Tailored supply chain decision making under pricesensitive stochastic demand and delivery uncertainty" 51 (51): 1873-1891, 2005

      3 McCormack, K. P., "Supply chain networks and business process orientation" CRC Press Series on Resource Management 2003

      4 Cooper, M. C., "Supply chain management more than a new name for logistics" 8 : 1-14, 1997

      5 Steckel, J. H., "Supply chain decision making:will shorter cycle times and shared point-of-sale information necessarily help?" 50 (50): 458-464, 2004

      6 Lee, D. J., "Stochastic dominance rules in multiattribute decision making under uncertainty" 171-184, 1990

      7 Petrovic, D., "Simulation of supply chain behaviour and performance in an uncertain environment" 71 : 429-438, 2001

      8 Takakuwa, S., "Simulation and analysis of non-automated distribution warehouses" 1177-1184, 2000

      9 Stock, J. R., "Managing computer communication and information technology strategically: opportunities and challenges for warehousing" 26 : 133-148, 1990

      10 Thonemann, U. W., "Improving supply chain performance by sharing advance demand information" 142 : 81-107, 2002

      1 Lee, K.-K., "The effect of uncertain information on supply chain performance in a beer distribution game-a case of meteorological forecast information" 14 (14): 139-158, 2007

      2 Ray, S., "Tailored supply chain decision making under pricesensitive stochastic demand and delivery uncertainty" 51 (51): 1873-1891, 2005

      3 McCormack, K. P., "Supply chain networks and business process orientation" CRC Press Series on Resource Management 2003

      4 Cooper, M. C., "Supply chain management more than a new name for logistics" 8 : 1-14, 1997

      5 Steckel, J. H., "Supply chain decision making:will shorter cycle times and shared point-of-sale information necessarily help?" 50 (50): 458-464, 2004

      6 Lee, D. J., "Stochastic dominance rules in multiattribute decision making under uncertainty" 171-184, 1990

      7 Petrovic, D., "Simulation of supply chain behaviour and performance in an uncertain environment" 71 : 429-438, 2001

      8 Takakuwa, S., "Simulation and analysis of non-automated distribution warehouses" 1177-1184, 2000

      9 Stock, J. R., "Managing computer communication and information technology strategically: opportunities and challenges for warehousing" 26 : 133-148, 1990

      10 Thonemann, U. W., "Improving supply chain performance by sharing advance demand information" 142 : 81-107, 2002

      11 Porter, M. E., "How information gives you a competitive advantage" 63 : 149-160, 1985

      12 Ayers, J. B., "Handbook of supply chain management" Auerbach Publications 2006

      13 Hsiao, K. M., "Evaluating the value of information sharing in a supply chain using an ARIMA model" 27 : 604-609, 2006

      14 Mentzer, J. T., "Defining supply chain management" 22 : 1-24, 2001

      15 Mylne, K. R., "Decision-making from probability forecasts based on forecast value" 9 : 307-315, 2002

      16 Lee,H.L., "Creating value through supply chain integration" 2000

      17 Zhao, W., "Coordination of joint price-production decisions in a supply chain" 34 (34): 701-715, 2002

      18 Lanzenauer, C. H. V, "Coordinating supply chain decisions:an optimization model" 24 : 59-78, 2002

      19 Croson, R., "Behavioral causes of the bullwhip effect and the observed value of inventory information" 52 : 323-336, 2006

      20 조면식, "Beer Distribution Game에서의 최적 재고정책" 한국산업경영시스템학회 24 (24): 11-22, 2001

      21 Fishburn, P. C., "Analysis of decisions with incomplete knowledge of probabilities" 13 : 217-237, 1965

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-04-01 학회명변경 한글명 : 한국데이타베이스학회 -> 한국데이터전략학회
      영문명 : 미등록 -> Korea Data Strategy Society
      KCI등재
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-06-22 학술지명변경 한글명 : Journal of Information Technology Applications & Menagement -> Journal of Information Technology Applications & Management
      외국어명 : Journal of Information Technology Applications & Menagement -> Journal of Information Technology Applications & Management
      KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.39 0.39 0.48
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.59 0.56 0.673 0.18
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