This README.txt file 20210419 was generated by Beatriz Andres ------------------- GENERAL INFORMATION ------------------- Title of Dataset: A Standardised Data Model for Collaborative Manufacturing CMData 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: Raul Poler, Universitat Politècnica de València, Plaza Ferrandiz y Carbonell 2 Alcoy (Spain), rpoler@cigip.upv.es, ORCID: 0000-0003-4475-6371. Associate or Co-investigator: Raquel Sanchis, Universitat Politècnica de València, Plaza Ferrandiz y Carbonell 2 Alcoy (Spain), rsanchis@cigip.upv.es, ORCID: 0000-0002-5495-3339. Date of data collection: 20210215 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, info:eu-repo/grantAgreement/EC/H2020/825631/EU, info:eu-repo/grantAgreement/EC/H2020/636909/EU General description: The dataset contains a novel standardised data model for collaborative manufacturing environments (CMData), building a taxonomy of data concepts to represent information related to the replenishment, production and delivery planning domains. Keywords: Cloud Collaborative Manufacturing Networks; Collaborative Networks; data model. -------------------------- 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: -. Links/relationships to previous or related data sets: -. Links to other publicly accessible locations of the data: -. -------------------- DATA & FILE OVERVIEW -------------------- File list: data model for collaborative manufacturing environments (CMData), .pdf, The CMData has the following objectives: (i) to solve problems related with data interpretation; (ii) to solve the sharing between enterprise legacy systems and cloud environments through the mapping procedure and (iii) to identify the required data coming from different enterprises to collaboratively compute the joint planning activities. The proposed CMData are validated through their application in the collaborative production scheduling plan of a second-tier supplier and a first-tier supplier in the automotive industry. Future work and open issues are also discussed Relationship between files: The data model for collaborative manufacturing environments (CMData)is proposed by building a taxonomy of data concepts to represent information about the replenishment, production and delivery planning domains Additional related data collected that was not included in the current data package If data was derived from another source, list source: -. Type of version of the dataset: .pdf , raw data. Versions of the files: 20200715 last version. Total size: 152.5Kb -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: raw data provided by the companies of the projects info: eu-repo/grantAgreement/EC/H2020/825631/EU and info: eu-repo/grantAgreement/EC/H2020/636909/EU. 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 2010 and .pdf Standards and calibration information, if appropriate: -. Environmental/experimental conditions: -. Describe any quality-assurance procedures performed on the data: data obtained by the CMData considering the data provided by the companies of the projects info: eu-repo/grantAgreement/EC/H2020/825631/EU and info: eu-repo/grantAgreement/EC/H2020/636909/EU.. -------------------------- DATA-SPECIFIC INFORMATION -------------------------- Number of variables: The complete CMData (16 one-dimension CMTables, 36 two-dimension CMTables and 11 three-dimension CMTables, with a total of 183 fields) Number of cases/rows: Variable list, defining any abbreviations, units of measure, codes or symbols used: Missing data codes: -. Specialized formats or other abbreviations used: Accordingly, all the input identified data were grouped into categories. Grouping was based on the different C2NET project consortium parties reaching a consensus. Consortium parties include pilot industries, users, developers, and researchers, all of who have plenty of expertise in the replenishment, production and delivery planning areas. The CMData here proposed are structured into tables, each corresponding to each identified category. The terminology by which these tables were designated was also agreed, based on the previously defined categories. CMTables were created to devise a common nomenclature of the categories defined and employed in the planning context. The process allowed searches for compatibilities to avoid any repeatability of previously identified categories. CMTables purpose hosting the format of input data (input datasets structured according to CMTables). The proposed CMData enclose a set of CMTables, currently composed of 63 CMTables. CMTables are classified into three types - One-dimension simple CMTables. This type of CMTables refers to one-dimension tables, e.g. “Machine”. This means that the CMTable “Machine” only contains fields related to the object machine. For example, the field “Amount” refers to the number of machines; the field “PurchaseCost” refers to the cost of purchasing a machine - Two-dimension combined CMTables. This type of CMTables combines two dimensions, e.g. “Machine” and “Tool”, which contain data related to both terms machine and tool. For example, the field “SetupTime” refers to the time required to set up the tool (e.g. a mold) in the machine - Three-dimension combined CMTables.. This type of CMTables combines three dimensions, e.g. “Machine”, “Tool” and “Labor”. This type of CMTables refers to the data of these three terms, machine, tool and labor. For example, the field “SetupTime” refers to the time needed by labor to set up the tool in the machine. - CMTables set homogeneous fields with the same structure. Each CMTable contains as many fields needed to store any kind of data from any enterprise. Similar concepts may appear in different CMTables due to specific characteristics from different enterprises. This means that enterprises have to select the fields that better fit their particularities before importing data - Each record groups the information associated with an element of the CMTable, made up of different fields. By focusing on quantitative peculiarities, a set of terms is used to better characterize fields, including time, priority, amount, cost, sequence, profit, data, space, location, volume, allocation, destination - Fields are each part in which the information of records is broken down. The record is the basic concept of CMTables, in which CMData are structured. Fields are described using three blocks: - field type, which refers to the type of data, which are encoded to ensure the common sharing of data types; - field unit, regarding the magnitude of data, in which different units are defined and encoded with different values. Accordingly, when the user inputs data into CMData, it must be done in the proper units. Thus, the enterprise can manage its information with different units; e.g. weights in grams should be included in CMData as kg to normalize data in CMTables; - field description, used to characterize the record representing its meaning