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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kariya Ngamsomsuke | en_US |
dc.contributor.author | Kamol Ngamsomsuke | en_US |
dc.contributor.author | Wangchuk Rabten | en_US |
dc.date.accessioned | 2022-10-16T06:49:13Z | - |
dc.date.available | 2022-10-16T06:49:13Z | - |
dc.date.issued | 2022-01-01 | en_US |
dc.identifier.other | 2-s2.0-85130191621 | en_US |
dc.identifier.other | 10.1109/DASA54658.2022.9765215 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85130191621&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/74794 | - |
dc.description.abstract | This paper aims at proposing a new basic model for the computation of break-even points for multiple product firms. The key and new component of the newly proposed break-even models was an equivalent unit conversion factor. We have demonstrated that this new computational method of break-even point for multiple product firms provided a unique break-even solution for any product chosen as a based product on both the basic model. Their unique solutions indicate that the newly proposed break-even models are robust. We also demonstrated that the newly proposed break-even model gives us the true break-even for any combination of the products or sales mix, assumed constant in the traditional basic break-even model. These newly proposed break-even models are thus applicable in the actual operation of the multiple product firm with a basic cost structure. | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Decision Sciences | en_US |
dc.subject | Mathematics | en_US |
dc.title | New Basic Break-even Analysis Models for Multiple Product Firms | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 | en_US |
article.stream.affiliations | Mae Fah Luang University | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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