Advances in Production Engineering & Management
Volume 17 | Number 1 | March 2022 | pp 1–136
Contents
Supply chain information coordination based on blockchain technology: A comparative study with the traditional approach
Yan, K.; Cui, L.; Zhang, H.; Liu, S.; Zuo, M.
https://doi.org/10.14743/apem2022.1.417
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A new multi-objective optimization approach for process parameters optimization during numerical simulation of quenching steel parts
Hrnjica, B.; Behrem, .
https://doi.org/10.14743/apem2022.1.418
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Modelling and simulation of hot direct extrusion process for optimal product characteristics: Single and multi-response optimization approach
Elplacy, F.; Samuel, M.; Mostafa, R.
https://doi.org/10.14743/apem2022.1.419
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Optimization approaches for solving production scheduling problem: A brief overview and a case study for hybrid flow shop using genetic algorithms
Xu, W.; Sun, H.Y.; Awaga, A.L.; Yan, Y.; Cui, Y.J.
https://doi.org/10.14743/apem2022.1.420
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The role of agility in responding to uncertainty: A cognitive perspective
Kim, Minkyun; Chai, Sangmi
https://doi.org/10.14743/apem2022.1.421
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Modelling of multiple surface roughness parameters during hard turning: A comparative study between the kinematical-geometrical copying approach and the design of experiments method (DOE)
Tomov, M.; Gecevska, V.; Vasileska, E.
https://doi.org/10.14743/apem2022.1.422
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A gold nanoparticles and hydroxylated fullerene water complex as a new product for cosmetics
Rudolf, R.; Jelen, Ž.; Zadravec, M.; Majerič, P.; Jović, Z.; Vuksanović, M.; Stankovic, I.; Matija, L.; Dragičević, A.; Miso Thompson, N.; Horvat, A.; Koruga, D.
https://doi.org/10.14743/apem2022.1.423
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The influence of artificial intelligence technology judicial decision reasoning on contract performance in manufacturing supply chain: A simulation analysis using Evolutionary Game approach
Zhao, G.; Shi, H.B.; Wang, J.F.
https://doi.org/10.14743/apem2022.1.424
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A two-stage construction heuristic approach for vehicle routing problem with split deliveries and pickups: Case studies and performance comparison
Jin, C.; Lu, L.J.; Min, J.N.
https://doi.org/10.14743/apem2022.1.425
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