کنفرانس لجستیک و زنجیره تامین
سال:1395 | دوره:2 |تعداد مقالات:2

TODAY, INFORMATION TECHNOLOGY HAVE CHANGED IN BUSINESS AND ENGINEERING AND AFFECTED ON DECISION MAKING AND STRATEGY PLANNING, THE INFORMATION REVOLUTION LEAD TO CHANGE ON PRODUCTIVITY AND SERVICES. A WAY THAT CONVERTS INFORMATION TO KNOWLEDGE CAN ENHANCE POWER OF PERFORMANCE IN COMPANIES. KNOWLEDGE MANAGEMENT (KM) MOST IMPORTANT IN THIS CONDITION. IT DEVELOPS MANY OPPORTUNITIES FOR MANAGEMENT, PRODUCTION AND HUMAN RESOURCE. CREATION, SHARING AND STORING THE KNOWLEDGE CAN ESTABLISH BRILLIANT CONDITION FOR INTEGRATE SYSTEMS IN DEVELOPING COUNTRY. IN THIS PAPER AN ATTEMPTS HAS BEEN MADE TO EXPLAIN PROCESSES OF KM FOR USING THIS SYSTEM AND DEVELOPS PROFIT FOR A PRIVATE COMPANY WITH DISCOVERING INFORMATION FROM EMPLOYERS AND ANOTHER RESOURCES. THE RESULTS OF THIS STUDY INDICATE THAT CONSIDERATION OF TRUST IN THE TRANSFER AND SHARING OF KNOWLEDGE AND INFORMATION, SYSTEM OF KNOWLEDGE MANAGEMENT IN ADDITION TO IMPROVING LEAD TO INCREASE EFFICIENCY AND STRENGTHEN COMPETITIVE ADVANTAGE FOR THESE COMPANIES.

COMPANIES ARE CONTINUOUSLY LOOKING FOR WAYS TO IMPROVE THEIR PERFORMANCE AND STAY COMPETITIVE IN THEIR MARKETS. IN ORDER TO ACHIEVE THE COMMERCIAL GOALS, COMPANIES HAVE TO PAY SPECIAL ATTENTION TO THE DISTRIBUTION NETWORK. WAREHOUSING AND DISTRIBUTION OF COMMODITIES TO SERVE CUSTOMERS' DEMAND ARE IMPORTANT TASKS IN SUPPLY CHAIN NETWORK. THE EFFECTIVE AND SUCCESSFUL MANAGEMENT OF THE DISTRIBUTION NETWORK RESULTS IN MEETING THE CUSTOMERS' NEEDS DIRECTLY OR INDIRECTLY FROM PLANTS. IN THIS PAPER, A MIXED INTEGER PROGRAMMING (MIP) FORMULATION IS PROPOSED FOR COMMODITY WAREHOUSING AND DISTRIBUTION PROBLEM. THE MODEL DETERMINED THE LOCATION OF THE COMMODITIES TO BE ACCUMULATED AND DECIDED HOW CUSTOMER SHOULD BE SERVED WHILE MINIMIZING OVERALL COSTS. IN THIS NETWORK UNDER CERTAIN CONDITION, THE CUSTOMERS CAN RECEIVE THEIR NEEDS DIRECTLY FROM PLANTS OR WAREHOUSING, AND EACH NODE CAN RULE RETAILERS AND/ OR WHOLESALERS. ALSO, A SOLUTION ALGORITHM BASED ON BENDERS DECOMPOSITION WAS DESCRIBED TO SOLVE THE PROBLEM. THE ALGORITHM PERFORMANCE WAS PROMISING AND COMPUTATIONAL EXPERIMENTATION REVEALED THAT, FOR RANDOMLY GENERATED PROBLEMS, THE USE OF SUCH INTEGER PROGRAMS HELPED GREATLY IN OBTAINING GOOD QUALITY SOLUTIONS.