Exemplo n.º 1
0
        }//end:FirstPass

        /// <summary>
        /// Splits ets list based on 'MagicNumbers' and processes produced sublists
        /// </summary>
        public static StatsList FindBestRunWithShifting(Zakaz ets)
        {
            //Given ets become immutable, because NormalizeAndSort() returns new object,
            //and sorted from max to min by ryn
            Zakaz _ets = ets.NormalizeAndSort();

            //For small Zakaz just find the best run
            if (_ets.Count <= Constants.ETS_ON_SHEET)
            {
                return(new StatsList()
                {
                    FindBestRun(_ets)
                });
            }

            StatsList  result       = new StatsList();
            Zakaz      tmpEts       = new Zakaz();
            List <int> magicNumbers = _ets.SplitMarkers;

            for (int i = 0; i < _ets.Count; i++)
            {
                if (!magicNumbers.Contains(i))
                {
                    tmpEts.Add(_ets[i]);
                }
                else
                {
                    result.Add(FindBestRun(tmpEts));
                    tmpEts = new Zakaz()
                    {
                        _ets[i]
                    };
                }
            }//end:for

            if (tmpEts.Count > 0 && tmpEts.Count <= Constants.ETS_ON_SHEET)
            {
                result.Add(FindBestRun(tmpEts));
            }
            else if (tmpEts.Count <= Constants.ETS_ON_SHEET * 2)
            {
                result.AddRange(TwoPartsRebalancer(tmpEts));
            }
            else if (tmpEts.Count > Constants.ETS_ON_SHEET * 2)
            {
                result.AddRange(SplitFromMinToMax(tmpEts));
            }

            return(result);
        }//end:FindBestRunWithShifting
Exemplo n.º 2
0
        }//end:FindBestRunWithShifting

        ///<summary>
        ///Splits provided ets by GCD and applies FirstPass on each sublist.
        ///Collects OutStats from each FirstPass and returns them as single list.
        ///</summary>
        public static StatsList SplitByGcd(Zakaz ets)
        {
            //ets.NormalizeAndSort();
            Zakaz _ets = new Zakaz(ets);

            _ets.Sort(new CompareEtsByRunMinToMax());

            List <Zakaz> groups       = new List <Zakaz>();
            Zakaz        garbageGroup = new Zakaz();

            foreach (Zakaz group in SplitByGcdToGroups(_ets))
            {
                //Sort ets of current group from max to min run
                group.Sort(new CompareEtsByRunMaxToMin());

                //Split big groups to smaller ones
                while (group.Count >= Constants.ETS_ON_SHEET)
                {
                    groups.Add(new Zakaz(group.Take(Constants.ETS_ON_SHEET)));
                    group.RemoveRange(0, Constants.ETS_ON_SHEET);
                }

                //All groups of one et are merged into one 'garbage' group
                if (group.Count < 2)
                {
                    garbageGroup.AddRange(group);
                }
                else
                {
                    groups.Add(group);
                }
            }
            if (garbageGroup.Count > 0)
            {
                groups.Add(garbageGroup);
            }

            StatsList result = new StatsList();

            foreach (Zakaz z in groups)
            {
                result.AddRange(FirstPass(z));
            }
            return(result);
        }//end:SplitByGcd
Exemplo n.º 3
0
        }//end:GetMinValidRun

        /// <summary>
        /// Sorts given ets, splits them into two groups
        /// and optimizes these groups via rebalancing them
        /// </summary>
        /// <param name="ets">Ets count has to be > 2 and < 2xETS_ON_SHEET</param>
        protected static StatsList TwoPartsRebalancer(Zakaz ets)
        {
            //Ets count has to be > 2 and < 2xETS_ON_SHEET
            if (ets.Count <= 2 || ets.Count >= Constants.ETS_ON_SHEET * 2)
            {
                throw new ArgumentOutOfRangeException();
            }

            //Make given ets immutable
            Zakaz     _ets   = new Zakaz(ets);
            StatsList result = new StatsList();

            _ets.Sort(new CompareEtsByRunMinToMax());

            //When we have _ets less than for two sheets,
            //split them into two parts
            //Take the first ETS_ON_SHEET ets to the first part
            Zakaz part1 = new Zakaz(_ets.GetRange(0, Constants.ETS_ON_SHEET));
            //Take all remained ets to the second part
            Zakaz part2 = new Zakaz(_ets.GetRange(Constants.ETS_ON_SHEET,
                                                  _ets.Count - 1 - Constants.ETS_ON_SHEET));

            //Calculate stats for both parts
            result.Add(GetStatsForRun(part1, GetMinValidRun(part1)));
            result.Add(GetStatsForRun(part2, GetMinValidRun(part2)));

            //Try to rebalance Part1 and Part2 to obtain the best stats
            StatsList tmpResult;

            while (part2.Count < Constants.ETS_ON_SHEET)
            {
                part2.Add(part1[part1.Count - 1]);
                part1.RemoveAt(part1.Count - 1);
                tmpResult = new StatsList();
                tmpResult.Add(GetStatsForRun(part1, GetMinValidRun(part1)));
                tmpResult.Add(GetStatsForRun(part2, GetMinValidRun(part2)));
                if (tmpResult < result)
                {
                    result = tmpResult;
                }
            }//while

            return(result);
        }//end:PackIntoSheet
Exemplo n.º 4
0
        }//end:FindBestRun

        ///<summary>
        ///Splits provided list of ets and applies FirstPass on each sublist.
        ///Collects OutStats from each FirstPass and returns them as single list.
        ///</summary>
        protected static StatsList SplitFromMinToMax(Zakaz ets)
        {
            //Make given ets immutable
            Zakaz _ets = new Zakaz(ets);

            //Order ets by runs
            _ets.Sort(new CompareEtsByRunMinToMax());

            int       runIncrement   = 0;
            StatsList TheBestResult  = null;
            Zakaz     zakazForMinRun = null;
            OutStats  statsForMinRun = null;

            do
            {
                //Split ets to groups with the sum count on the sheet <= Constants.ETS_ON_SHEET
                //and build temporary stats list
                statsForMinRun = GetStatsForRun(_ets, _ets.MinRun + runIncrement);
                //For now statsForMinRun are not valid, but we don't bother,
                //because we would split ets later
                zakazForMinRun = statsForMinRun.Ets;

                StatsList tmpResult = new StatsList();
                Zakaz     part1;
                Zakaz     part2;
                do
                {
                    part1 = new Zakaz();
                    part2 = new Zakaz();
                    int count = 0;
                    foreach (Etyketka et in zakazForMinRun)
                    {
                        if (count + et.CountOnSheet <= Constants.ETS_ON_SHEET)
                        {
                            //Select first ets group that fits at one sheet
                            part1.Add(et);
                        }
                        else
                        {
                            //Add all other ets to the second group
                            part2.Add(et);
                        }
                        count += et.CountOnSheet;
                    }//foreach
                    //Part1 is valid, as far as previous if-expression is true
                    OutStats os = GetStatsForRun(part1, part1.MinRun + runIncrement);
                    if (!os.IsValid)
                    {
                        if (TheBestResult != null)
                        {
                            return(TheBestResult);
                        }
                        else
                        {
                            throw new Exception("Invalid Algorithm!");
                        }
                    }
                    tmpResult.Add(os);
                    //For second group recalculating stats with its MinRun
                    if (part2.Count > 0)
                    {
                        statsForMinRun = GetStatsForRun(part2, part2.MinRun + runIncrement);
                        //For now statsForMinRun are not valid, but we don't bother,
                        //because we would split part2 in the next loop
                        zakazForMinRun = statsForMinRun.Ets;
                    }
                } while (part2.Count > 0);

                //Select the best result as the final result returned
                if (TheBestResult == null)
                {
                    TheBestResult = tmpResult;
                }
                if (TheBestResult > tmpResult)
                {
                    TheBestResult = tmpResult;
                }

                runIncrement += 100;
            } while (_ets.MinRun + runIncrement <= _ets.MaxRun);
            return(TheBestResult);
        }//end:SplitFromMinToMax