توسعۀ زنجیرۀ تامین پایدار دارویی با ارائۀ استراتژی احداث انبار مشترک

با توجه به اهمیت موضوع کلیدی سلامت، توسعۀ یک زنجیرۀ تامین پایدار دارویی با هدف ارائۀ خدمات مطلوب و به‎‍موقع، ضروری است. یکی از چالش‎‍های زنجیرۀ تامین دارو، زوال‎‍پذیری محصولات دارویی است. در این راستا، توسعۀ استراتژی‎‍هایی از اهمیت بالایی برخوردار است که دارو مدت‎‍زمان کمتری در چرخۀ توزیع قرار داشته باشد و در دسترس بیماران قرار گیرد. در این مقاله‎‍ با در نظر داشتن زنجیرۀ تامین سه سطحی شامل توزیع‎‍کنندۀ اصلی و مجموعه‎‍ای از توزیع‎‍کنندگان فرعی و داروخانه‎‍ها، به رویکرد جدید یکپارچه‎‍سازی زنجیرۀ تامین دارو با توسعۀ استراتژی انبار مشترک ‎‍ توجه شده است. مدل‎‍سازی ریاضی به دو صورت یکپارچه با استراتژی انبار مشترک و غیر یکپارچه انجام شده است. با توجه به پیچیدگی مدل ریاضی یکپارچه، برای ارزیابی عملکرد مدل مسئله در ابعاد کوچک، متوسط و بزرگ، با استفاده از الگوریتم بهینه‎‍ سازی ذرات حل شده است. در‎‍نهایت نتایج حاصل از مدل یکپارچه در مقایسه با مدل غیر یکپارچه، نشان‎‍دهندۀ کاهش هزینه‎‍های زنجیره و کاهش مدت‎‍زمان دورۀ سفارش با بزرگ‎‍تر‎‍شدن ابعاد مسئله است.

developing sustainable pharmaceutical supply chains via a shared warehouse strategy

purpose: given the importance of the key issue of health, developing a sustainable pharmaceutical supply chain to provide timely and quality services is essential. one of the challenges in the pharmaceutical supply chain is the perishability of drug products. in this regard, developing strategies to ensure drugs spend less time in the distribution cycle and are made available to patients promptly is of great importance.design/methodology/approach: in this article, considering a three-level supply chain including a main distributor, a set of sub-distributors, and pharmacies, a novel approach to pharmaceutical supply chain integration through the development of a shared warehousing strategy has been addressed. mathematical modelling has been conducted in both integrated (with shared warehousing strategy) and non-integrated forms. due to the complexity of the integrated mathematical model, the problem has been solved using the particle swarm optimization (pso) algorithm to evaluate the model’s performance in small, medium, and large scales.findings: the supply chain cost in the integrated model improves as the problem scale increases. based on the results, the difference between the integrated and non-integrated models is minimal at small scales, but as the problem scale grows, the objective function shows an improvement of up to 18.5%. one of the favourable outcomes of the integrated model is the reduction in the average order cycle time, which stems from consolidating orders in shared warehouses and increasing the exit rate of drugs from warehouses due to the aggregation of pharmacy demand.practical implications: one of the key reasons for the success of this strategy in the study was the reduction of inventory redundancy and optimal utilization of space and resources. by centralizing inventory in a shared warehouse, distributors can reduce leasing, manpower, and transportation costs. additionally, the geographical location of the warehouse has decreased delivery time and enhanced operational efficiency. the numerical results of the study confirm that the proposed strategy can be regarded as an approach that integrates environmental and social considerations alongside economic factors. the effectiveness of this strategy is attributed to the reduction in the storage time of pharmaceutical products, decreased levels of expired inventory, the benefits of economies of scale, and the timely response to healthcare needs.originality/value: the implementation of the shared warehousing strategy has been introduced as a novel approach to integrating the pharmaceutical supply chain.