2018
DOI: 10.1080/17509653.2018.1504331
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An inventory model for non-instantaneous deteriorating items with credit period and carbon emission sensitive demand: a signomial geometric programming approach

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Cited by 26 publications
(8 citation statements)
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“…It is clear that the solutions which are not feasible cannot be optimal. Also, since the proposed method which are used by Aliabadi et al (2018), Jabbarzadeh et al (2019 and Rabbani and Aliabadi (2019) is the Xu's method (as shown in Table 1), so the results are the same with this paper but the models are different.…”
Section: More Numerical Examplesmentioning
confidence: 62%
See 1 more Smart Citation
“…It is clear that the solutions which are not feasible cannot be optimal. Also, since the proposed method which are used by Aliabadi et al (2018), Jabbarzadeh et al (2019 and Rabbani and Aliabadi (2019) is the Xu's method (as shown in Table 1), so the results are the same with this paper but the models are different.…”
Section: More Numerical Examplesmentioning
confidence: 62%
“…Recently, researchers found the global optimal solution of SGP models using the iterative algorithms. For instance, Aliabadi et al (2018) proposed a supply chain EOQ model for single NIDIs (Non-Instantaneous Deteriorating Items) problem that consists of supplier, relater and customers. Their inventory model form was a constrained SGP model that solved by approximation method.…”
Section: Introductionmentioning
confidence: 99%
“…Let us now prove that the positive root of the polynomial equation (14) lies in the open interval 0, max…”
Section: G �mentioning
confidence: 99%
“…Mohanty et al [42] developed an inventory model with trade-credit financing and a preservation facility for deteriorating items under a random planning horizon. Aliabadi et al [43] solved a non-instantaneous deteriorating inventory problem with credit period and carbon emissions dependent demand by using a geometric programming approach. Liao et al [44] addressed an EOQ inventory model with a delay in payment policy for non-instantaneous deteriorating items with the aim of finding an optimal ordering policy.…”
Section: Introductionmentioning
confidence: 99%