This README.txt file 20210913 was generated by Eduardo Guzman

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GENERAL INFORMATION
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Title: Synthetic input data generator for a A MILP model for lot-sizing and scheduling of automotive plastic components with availability of raw materials and packaging

Author Information: 

	Principal Investigator: 	Eduardo Guzman, Universitat Politècnica de València, Plaza Ferrandiz y Carbonell 2 Alcoy (Spain), bandres@cigip.upv.es, ORCID: 0000-0003-4475-6371.
	Associate or Co-investigator: 	Beatriz Andres, Universitat Politècnica de València, Plaza Ferrandiz y Carbonell 2 Alcoy (Spain), eguzman@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.
	
Date of software: 20210913

Geographic location of data collection: Valencia, Comunidad Valenciana, Spain. 39.46975 -0.37739. 

Information about funding sources or sponsorship that supported the software programming: Universitat Politècnica de València

General description: The Python code generates synthetic input data. The dataset contains the input data for the mathematical model to develop the experiments. Launch MILP_LSSP_with_availability_materials_Generator_EXEC for generating synthetic input data by using the MILP_LSSP_with_availability_materials_Generator. The sizes of the indices (machines, moulds, parts, setup operators, materials, periods) for the small, medium and large datasets are the ones used in the experiments.

Keywords: input data generator; lot-sizing; mixed integer linear programming; raw materials; packaging; scheduling.
  
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SHARING/ACCESS INFORMATION
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Programming language: Python 3.7

Software license: Apache-2.0

Citation for and links to publications that cite or use the code:

Links/relationships to previous software: -.

Links to other publicly accessible locations of the software: 


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NOMENCLATURE
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Python code nomenclature
		
Index:
i		Index of machines i ∈{ 1, …, I}
j		Index of moulds j ∈{1, …, J}
k		Index of parts k ∈{1, …, K}
l		Index setup operators ∈{1, …, L}
r		Index of material (raw materials / packaging) r ∈{1, …, R}
t		Index of time periods t ∈{1, …, T}
Parameters:
a		Total amount of moulds j available for production
ca		consumption of material r required to produce each unit of part k
cb		Backorder cost of part k 
ci		Inventory cost of part k
cov		Stock coverage defined as number of time periods for the stock minimum coverage of part k during time period t
cs		Setup cost of preparing mould j
cs		Coverage stockout cost of part k 
d		Demand of part k during time period t
INVINI		Initial inventory of part k and material r
INVMAX		Maximum inventory units for part k, material r during time period t
INVMIN		Minimum inventory units for part k, material r during time period t
nc		Number of mould changes allowed during time period t
p		Number of parts k produced when mould j is set up
ro		1 if mould j can be set up on machine i, 
		0 otherwise
rc		Assignation cost of mould j on machine i
rp		Quantity received of material r in each period t
sla		Amount of setup operators l required to setup the mould j on machine i 
scl		Cost of setup operator l to setup the mould j on machine i
sls		Number of available workers l available in each period t