Data on A Goal Programming Model for Optimizing the Reverse Logistics Network of Glass Containers, and an Application in Turkey
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Since there is no data available in the literature or through internet, we really made an effort to find real data and try to estimate non-available data through available ones, correctly. Scalar and parameters of the mathematical model in the study are estimated according to assumptions shown as below, and are given in folders.
Assumptions
• There are 3 source of glass containers. These are from recycle bins, HORECA and other waste recyclers, and those amounts are estimated according to some past data.
• All cost parameters are foreknown which are calculated from real data, and will be shown in detail.
• Cost parameters will be determined with estimated inflation rate for the future periods and revenue parameters will be determined according to government payments per ton of recycled glass.
• Glass container consumption is directly proportional with the population of a town. So, for districts in which this data does not exist, the amount of glass can be collected through recycle bins is estimated according to their populations.
• The glass container source from other recyclers are assumed as 10% of total amount of glass containers available through recycle bins in each period.
• At the beginning of first period, 10 million Turkish Liras (TL) budget is available. Thereby, Bp parameter becomes 10,000,000 for the first period and 0 for the rest of periods.
• For operational side of glass recycling facility, we have stayed in touch with a real firm named “Cam Kırığı” located in Gebze/Istanbul through telephone interviews to get data (telephone interview, March 2019).
• The information about the glass manufacturer belongs to Sisecam Company, which is biggest glass manufacturer in Turkey.
• Equivalent cost parameters for future periods will be adjusted according to official price increases and inflation expectations.
• 1 year consists of 250 workdays. So, WD scalar becomes 250.
• Distances between facilities and glass container sources are based on highway routes.
• One driver and one assistant are required for each truck type 1 whereas only a driver is needed for truck type 2. So, these are summed with the required number of workers in the facility in order to find total number of personnel.
创建时间:
2021-03-09



