Ahmed Q, Moghaddam KS, Raza SA, Khan FI (2015) A multi-constrained maintenance scheduling optimisation model for a hydrocarbon processing facility. ProcIMech E Part O J Risk Reliab 229(2):151–168
Alba E, Luque G, Luna F (2007) Parallel meta-heuristic for workforce planning. J Math Algorithms 6(3):509–528
Amiri M, Khajeh M (2016) Developing a bi-objective optimisation model for solving the availability allocation problem in repairable series–parallel systems by NSGA II. J Ind Eng Int 12:61–69
Azadeh A, Zadeh SA (2016) An integrated fuzzy analytic hierarchy process and fuzzy multiple-criteria decision making simulation approach for maintenance policy selection. Simul Trans Soc Model Simul Int 92(1):3–18
Azadeh A, Farahani MH, Kalantari SS, Zarrin M (2015) Solving a multi-objective open shop problem for multi-processors under preventive maintenance. Int J Adv Manuf Technol 78(5):707–722
Azzouz R, Bechikh S, Said LB (2016) Dynamic multi-objective optimization using evolutionary algorithm; A survey. Recent advances in evolutionary multi-objective optimization, 20 adaptation, learning and optimization. Springer, Cham, pp 31-7
Beji N, Jarboui B, Siarry P, Chabchoub H (2012) A differential evolution algorithm to solve redundancy allocation problems. Int Trans Oper Res 19(6):809–824
Belmokaddem M, Mekidiche A, Sahed A (2009) Application of a fuzzy goal programming approach with different importance and priorities to aggregate production planning. J Appl Quant Method 4(3):317–331
Boring RL, Bye A (2008) Bridging human factors and human reliability analysis. In: Proceedings of the Human Factors and Ergonomics Society, 52nd Annual Meeting, pp 733–737
Boring RL, Gertman DI, Marble JL (2004) Temporal factors of human error in SPAR-H human reliability analysis modelling. In: Proceedings of the Human Factors and Ergonomics Society, 48th Annual Meeting, pp 1165–1169
Chen Z-Q, Wang R-L (2011) Two efficient real-coded genetic algorithms for real parameter optimisation. Int J Innov Comput Inf Cont 7(8):4871–4883
Cormier G, Boudreau R, Theriault S (2001) Real-coded genetic algorithm for Bragg grating parameter synthesis. J Opt Soc Am B 18(12):1771–1776
Dale BG, Plunkett JJ (1984) A study of audits, inspection and quality costs in the pressure vessel fabrication sector of the process plant industry. Proc IMechE 198B(2):45–54
De Bruecker P, Van den Bergh J, Belien J, Demeulemeester E (2015) Workforce planning incorporating skills: state-of-the-art. Eur J Oper Res 243(1):1–16
De A, Awasthi A, Tiwari MK (2015) Robust formulation for optimizing sustainable ship routing and scheduling problem. IFAC-PapersOnLine 48(3):368–373
De A, Mamanduru VKR, Gunasekaran A, Subramanian N, Tiwari MK (2016) Composite particle algorithm for sustainable integrated dynamic ship routing and scheduling optimisation. Comput Ind Eng 96:201–215
De A, Kumar SK, Gunasekaran A, Tiwari MK (2017) Sustainable maritime inventory routing problem with time window constraints. Eng Appl Artif Intell 61(C):77–95
Dolatshahi-Z A, Khalili-Damghani K (2015) Design of SCADA water resource management control center by a bi-objective redundancy allocation problem and particle swarm optimization. Reliab Eng Syst Safe 133:11–21
Duffuaa SO, Ben-Daya M, Al-Sultan KO, Andijani AA (2001) A generic conceptual simulation model in maintenance systems. J Qual Maint Eng 7(3):207–219
Ebrahimipour V, Najjarbashi A, Sheikhalishahi M (2015) Multi-objective modelling for preventive maintenance scheduling in a multiple production line. J Intell Manuf 26(1):111–122
Eiholzer T, Olsen D, Hoffmann S, Sturm B, Wellig B (2017) Integration of a solar thermal system in a medium-sized brewery using pinch analysis: methodology and case study. Appl Therm Eng 113:1558–1568
Engelbrencht AP (2007) Artificial intelligence: an introduction. Wiley, England
Flage R (2013) On risk reduction principle in the context of maintenance optimisation modelling. Proc I Mech E Pant O J Risk Reliab 242(2):631–643
Gavranis A, Kozanidis G (2015) An exact solution algorithm for maximizing the fleet availability of a unit of aircraft subject to flight and maintenance requirements. Eur J Oper Res 242(2):631–643
Ghezavati VR, Beigi M (2016) Solving a bi-objective mathematical model for location-routing problem with time windows in multi-echelon reverse logistics using metaheuristic procedure. J Ind Eng Int 12(4):469–483
Holland JH (1975) Adoption in neural and artificial systems. The University of Michigan Press, Ann Arbor
Ighravwe DE, Oke SA (2014) A non-zero integer non-linear programming model for maintenance workforce sizing. Int J Prod Econ 150:204–214
Ighravwe DE, Oke SA (2016) A machine survival time-based maintenance workforce allocation model for production systems. Afr J Sci Tech Innov Dev 8(5–6):1–10
Ighravwe DE, Oke SA, Adebiyi KA (2016a) Maintenance workload optimisation with accident occurrence considerations and absenteeism from work using a genetic algorithm. Int J Manag Sci Eng Manag 11(4):294–302
Ighravwe DE, Oke SA, Adebiyi KA (2016b) A reliability-based maintenance technicians’ workload optimisation model with stochastic considerations. J Ind Eng Int 12:171–183
Javanmard H, Koraeizadeh A (2016) Optimizing the preventive maintenance scheduling by genetic algorithm based on cost and reliability in National Iranian Drilling Company. J Ind Eng Int 12:509–516
Judice J, Martins P, Nunes J (2004) Workforce planning in a lot sizing mail processing problem. Comput Oper Res 32:3031–3058
Kennedy J and Eberhart R (1995) Particle swarm optimisation. In: Proceedings of the Fourth IEEE international conference on neural networks, Perth, Australia, IEEE Service Centre, pp 1942-1948
Kennedy J, Eberhart RC, Shi Y (2001) Swarm intelligence. Morgan Kaufmann, San Mateo
Khalili-Damghani K, Amiri M (2012) Solving binary-state multi-objective reliability redundancy allocation series-parallel problem using efficient epsilon-constraint, multi-start partial bound enumeration algorithm, and DEA. Reliab Eng Syst Saf 103:35–44
Khalili-Damghani K, Shahrokh A (2014) Solving a new multi-period multi-objective multi-product aggregate production planning problem using fuzzy goal programming. Ind Eng Manag Syst 13(4):369–382
Khalili-Damghani K, Sadi-Nezhad S, Tavana M (2013a) Solving multi-period project selection problems with fuzzy goal programming based on TOPSIS and a fuzzy preference relation. Inf Sci 252:42–61
Khalili-Damghani K, Abtahi A-R, Tavana M (2013b) A new multi-objective particle swarm optimization method for solving reliability redundancy allocation problems. Reliab Eng Syst Saf 111:58–75
Khalili-Damghani K, Abtahi A-R, Tavana M (2014) A decision support system for solving multi-objective redundancy allocation problems. Qual Reliab Eng Int 30(8):1249–1262
Kleenman MP, Lamount GB (2005) Solving the aircraft engine maintenance scheduling problem using a multi-objective evolutionary algorithm, in 3410, Lecture notes in computer science. Springer, Heidelberg, pp 782–796
Knapp GM, Mahajan M (1998) Optimization of maintenance organization and man-power in process industries. J Qual Maint Eng 4(3):168–183
Kozanidis G (2009) A multiobjective model for maximizing fleet availability under the presence of flight and maintenance requirements. J Adv Transp 43(2):155–182
Kozanidis G, Gavranis A, Kostarelou E (2012a) Mixed integer least squares optimization for flight and maintenance planning of mission aircraft. Naval Res Logist 59(3–4):212–229
Kozanidis G, Gavramis A, Kostarehouf E (2012b) Mixed integer least squares optimisation for flight and maintenance planning of mission aircraft. Naval Res Logist 59(3–4):212–229
Kubule A, Zogla L, Ikaunieks J, Rosa M (2016) Highlights on energy efficiency improvements: a case of a small brewery. J Clean Prod 138:275–286
Lei D (2013) Multi-objective artificial bee colony for interval job shop scheduling with flexible maintenance. Int J Adv Manuf Technol 66(9):1835–1843
Ling H, Zheng Y, Zhang Z, Zhou X (2011) A new multi-objective particle swarm optimization algorithm for strategic planning of equipment maintenance in Advances in Swarm Intelligence. Lect Notes Comput Sci 6729:57–65
Maiti SK, Roy SK (2016) Multi-choice stochastic bi-level programming problem in cooperative nature via fuzzy programming approach. J Ind Eng Int 12(3):287–298
Mansour MAA-F (2011) Solving the periodic maintenance scheduling problem via genetic algorithm to balance workforce levels and maintenance cost. Am J Eng and Appl Sci 4(2):223–234
Meisels A, Kaplansky E (2004) Iterative restart techniques for solving timetabling problems. Eur J Oper Res 153:41–50
Moradgholi M, Paydar MM, Mahdavi I, Jouzdani J (2016) A genetic algorithm for a bi-objective mathematical model for dynamic virtual cell formation problem. J Ind Eng Int 12:343–359
Nie L (2016) Parallel machine scheduling problem of flexible machine activities with fuzzy random time windows. Adv Intell Syst Comput 502:1027–1040
Nnobi-Okoye CC, Okiy S, Igboanugo AC (2016) Performance evaluation of multi-input-single-output (MISSO) production process using transfer function and fuzzy logic: case study of a brewery. Ain Shams Eng J 7:1001–1010
Orlikowski J, Krakowiak S (2013) Pitting corrosion and stress-corrosion cracking of buffer banks in a brewery. Eng Fail Anal 29:75–82
Ouadfel S, Batouche M, Taleb-Ahmed A (2010) A new particle swarm optimization algorithm for dynamic image clustering. In: Digital Information Management (ICDIM), 2010 fifth international conference, 5–8 July 2010, Thunder Bay, Canada
Pant S, Kumar A, Ram M (2017) Reliability optimization: a particle swarm approach. In: Ram M, Davim J. (eds) Adv Reliab Syst Eng., Manag Ind Eng. Springer, Switzerland. doi:10.1007/978-3-319-48875-2_7
Piasson D, Biscaro AAP, Leao FB, Mantovani JRS (2016) A new approach for reliability centered maintenance programs in electric power distribution systems based on multiobjective genetic algorithm. Electr Power Syst Res 137:41–50
Rabbani M, Montazeri M, Farrokhi-Asl H, Rafiei H (2016) A multi-objective genetic algorithm for a mixed-model assembly U-line balancing type-I problem considering human-related issues, training, and learning. J Ind Eng Int 12(4):485–497
Rabbani M, Farrokhi-Asl H, Asgarian B (2017) Solving a bi-objective location routing problem by a NSGA-II combined with clustering approach: application in waste collection problem. J Ind Eng Int 13(1):13–27
Ramirez-Hernandez JA, Fernandez-Graucherand E, O’Connor M, Patel N (2007) Conversion of non-calendar to calendar-fine based preventive maintenance schedules for semiconductor manufacturing systems. J Qual Maint Eng 13(3):259–275
Raza SA, Al-Turki UM (2007) A comparative study of heuristic algorithms to solve maintenance scheduling problem. J Qual Maint Eng 13(4):398–410
Raza SA, Al-Turki UM (2010) A new policy for scheduling maintenance on a single machine. Int J Appl Decis Sci 3(2):132–150
Sadeghi J, Sadeghi A, Saidi-Mehrabad M (2011) A parameter-tuned genetic algorithm for vendor managed inventory model for a case single-vendor single-retailer with multi-product and multi-constraint. J Optim Ind Eng 9:57–67
Safaei N, Banjevic D, Jardine AKS (2008) Multi-objective simulated annealing for a maintenance workforce scheduling problem: a case study. In: Tan CM (ed) simulated annealing. I-Tech Education and Publishing, Vienna, pp 27–48
Sarker BR, Yu JC (1995) A balanced maintenance schedule for a failure-prone system. Int J Qual Reliab Manag 12(9):183–191
Sergaki A, Kalaitzakis K (2002) A fuzzy knowledge based method for maintenance planning in a power system. Reliab Eng Syst Saf 77(8):19–30
Shahriari M (2016) Multi-objective optimization of discrete time–cost tradeoff problem in project networks using non-dominated sorting genetic algorithm. J Ind Eng Int 12(2):159–169
Shahriari M, Shoja N, Zade AE, Mani SB (2016) JIT single machine scheduling problem with periodic preventive maintenance. J Ind Eng Int 12(3):299–310
Sturm B, Butcher M, Wang Y, Huang Y, Roskilly T (2012) The feasibility of the sustainable energy supply from bio-wastes for a small scale brewery: a case study. Appl Therm Eng 39:45–52
Visier (2015) From HR metrics to workforce analytics: five key workforce insights that every employer should capture for greater business impact. http://www.workforce.com/ext/resources. Accessed 26 Mar 2015
Wyld J, Pugh G (2010) Evaluating the impact of progressive beer duty on small breweries: a case study of tax breaks to promote SMES. Environ Plan C Gov Policy 28:225–240
Yulan J, Zuhua J, Wenrui H (2008) Multi-objective integrated optimization research on preventive maintenance planning and production scheduling for a single machine. Int J Adv Manuf Technol 39(9):954–964