Real-Life Optimum Shift Scheduling Design

In many industries, manpower shift scheduling poses problems that require immediate solutions. The fundamental need in this domain is to ensure that all shifts are assigned to cover all or as many jobs as possible. The shifts should additionally be planned with minimum manpower utilization, minimum manpower idleness and enhanced adaptability of employee schedules. The approach used in this study was to utilize an existing manpower prediction method to decide the minimum manpower required to complete all jobs. Based on the minimum manpower number and shift criteria, the shifts were assigned to form schedules using random pick and criteria-based selection methods. The potential schedules were then optimized and the best ones selected. Based on several realistic test instances, the proposed heuristic approach appears to offer promising solutions for shift scheduling as it improves shift idle time, complies with better shift starting time and significantly reduces the manpower needed and the time spent on creating schedules, regardless of data size

Dichlorido{μ3-6,6′-dieth­oxy-2,2′-[ethane-1,2-diylbis(nitrilo­methyl­idyne)]diphenolato}octa­methyldi-μ3-oxido-tetra­tin(IV)

In the title tetra­nuclear tin(IV) complex, [Sn4(CH3)8(C20H22N2O4)Cl2O2], there are three completely different tin-atom coordinations. One metal atom (site symmetry 2) adopts a distorted penta­gonal-bipyramidal SnC2N2O3 coordination arising from the N,N′,O,O′-tetra­dentate deprotonated Schiff base, two methyl groups in the axial sites and a μ3-O atom that also bonds to two further Sn atoms. Two symmetry-equivalent Sn atoms adopt very distorted SnC2O4 arrangements that could be described as penta­gonal-bipyramidal with one equatorial vertex missing and the C atoms in the axial site. The final Sn atom (site symmetry 2) adopts an SnC2Cl2O trigonal-bipyramidal arrangement, with Cl atoms in the axial sites. As well as the two Sn atoms, one O atom lies on a twofold rotation rotation axis, and another is disordered about the axis. The terminal eth­oxy group is disordered over two sets of sites with equal occupancy

Application of Bat Evolutionary Algorithm in Optimization of Economic Dispatch for Unit-Commitment Problem with Large Uncertainties and High Efficiency

In the recent years, unit commitment (UC) has been increasingly directed towards improving the quality of power to satisfy the customers’ demand at a minimum cost. As a result, minimizing the cost function of the unit commitment problem has become a challenge for many research studies while assuring the power availability in distribution systems. In this paper, the new Bat Algorithm (BA) as an evolutionary algorithm is proposed to minimize the unit commitment cost function and to decrease the fluctuation of power in the distribution system. The cost function employs constraints including spinning reserve and generator ramp rate in addition to commonly used load balance, power limits, etc. Simulation studies on a 10-unit distribution system shows significant improvement in the convergence speed and minimum calculated cost when compared to the available methods

Application of Bat Evolutionary Algorithm in Optimization of Economic Dispatch for Unit-Commitment Problem with Large Uncertainties and High Efficiency

In the recent years, unit commitment (UC) has been increasingly directed towards improving the quality of power to satisfy the customers’ demand at a minimum cost. As a result, minimizing the cost function of the unit commitment problem has become a challenge for many research studies while assuring the power availability in distribution systems. In this paper, the new Bat Algorithm (BA) as an evolutionary algorithm is proposed to minimize the unit commitment cost function and to decrease the fluctuation of power in the distribution system. The cost function employs constraints including spinning reserve and generator ramp rate in addition to commonly used load balance, power limits, etc. Simulation studies on a 10-unit distribution system shows significant improvement in the convergence speed and minimum calculated cost when compared to the available methods

Dicyclo­hexyl­{3-hydr­oxy-N′-[1-(2-oxidophenyl-κO)ethyl­idene]-2-naphthohydrazidato-κ2 N′,O}tin(IV)

In the title compound, [Sn(C6H11)2(C19H14N2O3)], the SnIV atom is O,N,O′ chelated by the deprotonated Schiff base ligand and exists in a cis-trigonal-bipyramidal environment, completed by the two cyclohexyl ligands

[N′-(5-Chloro-2-oxidobenzyl­idene-κO)-3-hydr­oxy-2-naphthohydrazidato-κ2 N′,O 2]diphenyl­tin(IV)

The SnIV atom in the title compound, [Sn(C6H5)2(C18H11ClN2O3)], is O,N,O′-chelated by the deprotonated Schiff base ligand and further bonded by two phenyl rings in a distorted cis-C2SnNO2 trigonal-bipyramidal geometry [C—Sn—C = 125.7 (2)°]. The two phenyl rings are oriented at a dihedral angle of 55.2 (3)°. Intra­molecular O—H⋯N hydrogen bonding is present in the crystal structure

2-{1-[2-((2-Ammonio­ethyl){2-[1-(5-chloro-2-hydroxy­phen­yl)ethyl­idene­amino]eth­yl}amino)ethyl­iminio]eth­yl}-4-chloro­phenolate trifluoro­acetate

In the title ion-pair, C22H29Cl2N4O2 +·C2F3O2 −, ammonium–carboxyl­ate N—H⋯O hydrogen bonds link two cations and two anions about a centre of inversion to generate a hydrogen-bonded tetramer. In the cation, one of the imino N atoms is protonated and donates a hydrogen bond to the O atom of the adjacent chloro­phenyl ring. The other imino N atom acts as a hydrogen-bond acceptor from a phenolate O atom

Heuristic method for optimum shift scheduling design

This paper describes a method to schedule shifts in the most optimum way desire for today’s cost sensitive industries.The main problem for this domain is to make sure all shifts are assigned to cover all or maximum jobs available.The shifts also need to be schedule with the least manpower possible, avoid manpower idling during the shift and take into consideration employee’s time adaptability.Our approach is to use the existing manpower prediction method to determine the minimum manpower require to complete all the jobs. Based on the minimum manpower number and shift criteria’s, the shifts are then assigned to form schedules using our proposed algorithm.The potential schedules are then optimized.Our prototype running data from airline staff shows that the method used can solve the problem efficiently even for large problem instances in seconds

Aqua­{6,6′-dimeth­oxy-2,2′-[ethane-1,2-diylbis(nitrilo­methyl­idyne)]diphenolato-κ4 O,N,N′,O′}(formato-κO)manganese(III) dihydrate

The MnIII atom in the title complex, [Mn(C18H18N2O4)(CHO2)(H2O)]·2H2O, is O,N,N′,O′-chelated by the deproton­ated Schiff base; the four chelating atoms form an approximate square, with the O atoms of the water mol­ecule and the formate ion in axial positions above and below the square plane. Two metal-bearing mol­ecules are linked by an O—Hwater⋯O hydrogen bond about a center of inversion, generating a hydrogen-bonded dinuclear species; adjacent dinuclear units are linked through the lattice water mol­ecules, forming a three-dimensional network

[N′-(5-Bromo-2-oxidobenzyl­idene-κO)-3-hydr­oxy-2-naphthohydrazidato-κ2 N′,O]dibutyl­tin(IV)

The SnIV atom in the title compound, [Sn(C4H9)2(C18H11BrN2O3)], shows a distorted cis-C2NO2Sn trigonal-bipyramidal coordination. One of the butyl chains is disordered over two sites in a 0.60 (1):0.40 (1) ratio