This README.txt file 20210209 was generated by Eduardo Guzman ------------------- GENERAL INFORMATION ------------------- Title of Dataset: Output Data of a novel MILP model for the production, lot-sizing and scheduling of automotive plastic components on parallel flexible injection machines with setup common operators. Author Information: Principal Investigator: Beatriz Andres, Universitat Politècnica de València, Plaza Ferrandiz y Carbonell 2 Alcoy (Spain), bandres@cigip.upv.es, ORCID: 0000-0002-7920-7711. Associate or Co-investigator: Eduardo Guzman, Universitat Politècnica de València, Plaza Ferrandiz y Carbonell 2 Alcoy (Spain), bguzman@cigip.upv.es, ORCID: 0000-0003-0866-2095. Associate or Co-investigator: Raul Poler, Universitat Politècnica de València, Plaza Ferrandiz y Carbonell 2 Alcoy (Spain), rpoler@cigip.upv.es, ORCID: 0000-0003-4475-6371. Date of data collection: 20210209 Geographic location of data collection: Valencia, Comunidad Valenciana, Spain. 39.46975 -0.37739. Information about funding sources or sponsorship that supported the collection of the data: Universitat Politècnica de València General description: The dataset contains the output data that has been obtained from the mathematical model to solve the case study. The values have been structured according to the indices defined in the model. Output data details have been added provide the results of the model when it is replicated. Keywords: lot-sizing; scheduling; injection moulding; parallel machines; mixed integer linear programming; automotive industry. -------------------------- SHARING/ACCESS INFORMATION -------------------------- Open Access to data: Open. Date end Embargo: -. Licenses/restrictions placed on the data, or limitations of reuse: Creative Commons Attribution (CC-BY) Citation for and links to publications that cite or use the data: Andres, B., Guzman, E., & Poler, R. (2021). A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators. Complexity, 2021, 1–16. https://doi.org/10.1155/2021/6667516 Links/relationships to previous or related data sets: -. Links to other publicly accessible locations of the data: -. -------------------- DATA & FILE OVERVIEW -------------------- File list: Output data L1 data set, csv, the dataset contains the medium data set M0 output data that has been resulted from the mathematical model of the case study. Relationship between files: The dataset contains the output data that has been resulted into the mathematical model to develop the case study in the S1, S2, S3, S4, M1, M2, M3, M4, L1, L2, L3, L4 data set. Additional related data collected that was not included in the current data package: The data is provided by the model resolution and the values have been structured according to the indices defined in the model. The indice "I" represents machines, the indice "J" represents tools, the indice "L" represents setup type operators, the indice "K" represents products (parts), "T" represents time periods. If data was derived from another source, list source: -. Type of version of the dataset: CSV, raw data. Versions of the files: 20210209 last version. Total size: 20.6MB. -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: raw data provided by the company under study. Methods for processing the data: the raw data presented has not been processed. Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: Microsoft Excel 2013. Standards and calibration information, if appropriate: -. Environmental/experimental conditions: -. Describe any quality-assurance procedures performed on the data: data obtained by the model considering considering the input data files. -------------------------- DATA-SPECIFIC INFORMATION -------------------------- Number of variables: 9. Number of cases/rows: Output data S1, S2, S3, S4, M1, M2, M3, M4, L1, L2, L3, L4 data set. Variable list, defining any abbreviations, units of measure, codes or symbols used: The indice "I" represents machines, the indice "L" represents setup type operators, the indice "J" represents tools, the indice "K" represents products (parts), "T" represents time periods. Missing data codes: -. Specialized formats or other abbreviations used: Bkt: Backorder of product k during time period t INVkt: Inventory level of product k at the end of time period t Siljt 1 if the tool j is setup by setup operator l on machine i during time period t; 0 otherwise SAiljt 1 if tool j is set up by setup operator l on machine i during time period t, and is not set up on machine i during time period t-1; 0 if tool j is set up by setup operator l on machine i during time period t-1 STkt: Coverage stockout of product k during time period t TPijt: Production time of tool j set up on machine i during time period t Xkt: Amount of product k to produce during time period t Xnpkt: Amount of product k no longer produced during time period t, while a tool is set up X’kt: Amount of product k to produce during time period t by subtracting Xnpkt