Omega

The data file includes full data used in the case study of the paper.

Each line represents a student The first 6 columns represent the duration for a student in each one of the six basic services The remaining elements indicate the areas for which the student is allowed to rotate

Data for Examples 1-3 in "Supply Chain Coordination with Reverse Logistics: A Vendor/Recycler-Buyer Synchronized Cycles Model" by Chan et al.

This directory contains: Input files for all precedence graphs included in the data sets of: Scholl, Armin (1993): Data of Assembly Line Balancing Problems. Schriften zur Quantitativen Betriebswirtschaftslehre 16/93, Th Darmstadt. Format of in2-files: line 1: number n of tasks lines 2-n+1: integer task times lines n+2,...: direct precedence relations in form "i,j" last line: end mark "-1,-1" (optional)

The data set for the m-vector bin packing and sequencing problem used in the article "Product sequencing in multiple-piece-flow assembly lines" by Otto and Li.

Data involves 183 NUTS 2 regions in 23 selected EU-28 countries in 2016. These countries are Austria (AT), Belgium (BE), Bulgaria (BG), Czech Republic (CZ), Denmark (DK), Greece (EL), Finland (FI), France (FR), Croatia (HR), Hungary (HU), Ireland (IE), Italy (IT), Lithuania (LT), Luxembourg (LU), Latvia (LV), Malta (MT), Netherlands (NL), Poland (PL), Romania (RO), Sweden (SE), Slovenia (SI), Slovakia (SK), and United Kingdom (UK). Multi_valued inputs: x1 Average number of usual weekly hours of work (15-24 years) x2 Average number of usual weekly hours of work (15-64 years) x3 Average number of usual weekly hours of work (15 years or over) x4 Average number of usual weekly hours of work (25-64 years) Single-valued input x5 Gross fixed capital formation Multi_valued output: y1 Production (GDP at current market prices) y2 Production (GVA at basic prices) Multi_valued bad output: b1 Unemployment (15 years or over) b2 Unemployment (12 months and more)

This spreadsheet contains the raw data used in the numerical experiments of the paper "Incorporating Black-Litterman Views in Portfolio Construction when Stock Returns are a Mixture of Normals". It contains two 360x11 matrices representing the return and percentage market capitalization for the 11 sectors in S&P 500 index over a period of 360 months.

Data for demand and probability

This XML file collects the opinion of 33 decision makers on their political preferences, considering seven Italian leaders who run for the Italian national political elections on March 4th, 2018. The decision makers were presented with a pictorial representation of the seven leaders and were asked to draw an arrow from leader A to leader B in order to specify that they prefer A over B; moreover, they provided an integer number between 1 and 10 to specify how many times A was preferred with respect to B. The <LEADERS> ... </LEADERS> XML field reports basic date for each leader, in the form <LEADER> <ID>Id of the leader</ID> <NAME>Name of the leader</NAME> </LEADER> For each decision maker we report a <DECISIONMAKER> .. </DECISIONMAKER> XML field, which contains an ID in the form <ID> ID of decision maker </ID> and a field <EDGELIST>...</EDGELIST>, which contains the list of the edges associated to that decision maker. Such edges are in the form <EDGE> <FROM>ID of Leader</FROM> <TO>ID of Leader</TO> <WEIGHT>Weight</WEIGHT> </EDGE> and model the fact that the leader in the <FROM>..</FROM> field is preferred to the leader in the <TO>..</TO> field. The amount of the preference is reported in the <WEIGHT>...</WEIGHT> field.

Online materials for the paper Iterated Greedy methods for the distributed permutation flowshop scheduling problem