## 2 Scientific Literature Review
### Worker Assignment
\begin{table}
\begin{tabular}{c c c c c c} \hline
**Reference** & **Problem** & **Context** & **Objective** & **Human Issue** & **Solution Method** \\ \hline [PERSON] and [PERSON] [23] & TFWAP & CCM & TNC, WPT, and TS & WPT & GHBS \\ [PERSON] et al. [26] & WAP & CCM & TP & WTHS & MIP \\ [PERSON] and [PERSON] [28] & WAP & CCM & TNW & LF and WC & TAPH \\ [PERSON] et al. [29] & WAP & CCM & TC & WCT & BIP \\ [PERSON] et al. [36] & WAP & JCM & TC & - & THPH \\ [PERSON] et al. [41] & WAP & CCM & TC and TPW & WS & Hybrid NSGA-II and MOSA \\ [PERSON] and [PERSON] [37] & WAP & JCM & TC & - & TWPH \\ [PERSON] and [PERSON] [42] & WAP & CCM & CT and TNW & - & TPIP \\ [PERSON] et al. [43] & WAP & CCM & TC & - & Hybrid CPSO and LP \\ [PERSON] et al. [31] & WAP & CCM & ACT & WC & GA, SA, and ABC \\ [PERSON] et al. [39] & WAP & JCM & WB & - & NSGA-II \\ [PERSON] et al. [38] & WAP & JCM & WB & - & ECBEA \\ [PERSON] et al. [40] & WAP & CCM & TC & - & STABCA \\ [PERSON] et al. [34] & WAP & CCM & TC & LF & AMDSA \\ [PERSON] and [PERSON] [12] & TPP & CE & PW & IR & AHP and QFD \\ [PERSON] and [PERSON] [7] & TP & CE & TWC and IR & IR & AHP \\ [PERSON] and [PERSON] [13] & TPP & PM & PDTC and IR & IR & AHP and MOPSO \\ [PERSON] et al. [14] & TPP & PM & IR & IR & GAMS \\ [PERSON] et al. [21] & TPP & PM & SC and CS & WC & SCDA \\ [PERSON] et al. [11] & TPP & PM & IR & IR & SA \\ [PERSON] et al. [8] & TPP & PM & PE & IR & CP, LS, and VNS \\ [PERSON] et al. [9] & TPP & PM & IR & IR & CA \\ [PERSON] [10] & TPP & SG & IR & IR & GA \\ [PERSON] et al. [22] & TPP & PM & IP and QCP & WC & NSGA-II \\ This study & TFWAP & CCM & CS, ITV, and WITV & IR, WCT, FL, and WC & Two-stage ALN \\ \hline \end{tabular} Note: TFWAP: team formation and worker assignment problem; WAP: worker assignment problem; TFP: team formation problem; CE: concurrent engineering; CCM: conventional cellular manufacturing; JCM: Japanese cellular manufacturing; TNC: training cost; WPT: worker personality traits; TS: team synergy; GHBS: greedy heuristic-based beam search; TP: total profitability; WTHS: worker technical and human skills; MIP: mixed integer programming; TNW: total number of workers; LF: learning- forgetting effect THPH: three-phase heuristic; TC: total cost; BIP: binary integer programming; NSGA-II: non-dominated sorting genetic algorithm; TPW: total production waste; WS: worker safety; MOSA: multi-objective simulated annealing; TWPH: two-phase heuristic; CT: cycle time; TPIP: two-phase integer programming; CPSO: combinatorial particle swarm optimisation; LP: linear programming: WB: workload balance; ECBEA: epsilon constraint-based exact algorithm; STABCA: superior tracking artificial bee colony algorithm; AMDSA: adaptive memetic differential search algorithm; TIV: total inventory level; WITV: workers idle time variation; IR: interpersonal relationship; FI: fairness issue; WCT: worker cross-training level; WC: worker competency; GA: genetic algorithm; SA: simulated annealing; ABC: artificial bee colony; PW: priority weight; PM: project management; SG: student grouping; PTDC: product development task capabilities; TWC: teamwork capability; SC: staffing cost; CS: competency score; PE: project efficiency; AHP: analytical hierarchy process; QFD: quality function development; MOPSO: multi-objective particle swamp optimization; GAMS: general algebraic modelling system; SCDA: scenario cluster decomposition algorithm; CP: constraint programming; LS: local search; VNS: variable neighbourhood search; CA: computer application; IP: individual performance; QCP: organisational collaborative performance.  
\end{table} 
Table 1: Summary of previous studies.