Publication

@inproceedings{krstevski2023integrating,

title = {Integrating Real-Time Dynamic Electricity Price Forecast into Job Shop Production Scheduling Model with Multiple Machine Environments},

author = {Stefan Krstevski and Omid Fatahi Valilai and Hendro Wicaksono},

doi = {https://doi.org/10.1145/3587889.3587905},

year  = {2023},

date = {2023-06-09},

urldate = {2023-01-01},

booktitle = {Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications},

pages = {98–106},

abstract = {One of the challenges in the transition towards green electricity is the intermittence of power generated by renewable sources. Thus, power consumers, including the manufacturing industry, must adapt their activities and processes to green electricity supply. Real-time dynamic pricing is an approach to encourage electricity consumers to change their consumption patterns by lowering prices when the availability of green electricity in the grid is high. Due to the introduction of real-time electricity pricing, manufacturing companies must adapt their production planning by integrating dynamic price information into their production scheduling. Our research focuses on extending the basic production scheduling mathematical model by introducing real-time power pricing in the model. The prices are built based on the current proportion of green electricity in the grid represented in the green electricity index (GEI) with one-hour intervals. This paper also illustrates a scenario of how to use the model. Our future research will further extend the model addressing the flexibility of manufacturing shop floors (e.g. adding buffer, retooling, and setup time) and validate the model in two small and medium manufacturing enterprises.

},

keywords = {energy management, manufacturing, operation research},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{khaturia2022srp,

title = {Srp: a sustainable dynamic ridesharing platform utilizing blockchain technology},

author = {Roshaali Khaturia and Hendro Wicaksono and Omid Fatahi Valilai},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {International Conference on Dynamics in Logistics},

pages = {301–313},

organization = {Springer International Publishing Cham},

keywords = {blockchain, logistics, operation research, sustainability},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ahmadi2021extending,

title = {Extending the last mile delivery routing problem for enhancing sustainability by drones using a sentiment analysis approach},

author = {Elham Ahmadi and Hendro Wicaksono and O Fatahi Valilai},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)},

pages = {207–212},

organization = {IEEE},

keywords = {data science, logistics, operation research},

pubstate = {published},

tppubtype = {inproceedings}

}