Minimizing the internal supply chains’ operating expenses is a crucial management goal in current transnational enterprises, where manufacturing and retailing often operate independently. Still, managers must periodically evaluate the consolidated operating expenses and performance. The operational goals in the manufacturing units consist of lowering quality- and reliability-relevant costs, avoiding manufacturing delays due to random breakdowns, and meeting order due dates through expediting strategies, such as partial subcontracting and accelerating the fabrication plan. Inspired by efforts to optimize batch runtime for the mentioned intra-supply chains, this study investigates the combined impact of quality-surety actions (including defect removal and rework), correction of breakdowns, multi-delivery, adjustable-rate, and outsourcing on a coordinated producer–retailer system. This study presents a research scheme comprising: (1) model development for the mentioned internal supply-chain features; and (2) optimization approaches for determining the cycle time decision that minimizes the overall system operating expenses. To conclude our work, we validate the research scheme, procedure, and results through numerical demonstration and show that it can effectively support management’s decision-making with various exploratory and crucial information.

Operating in today’s turbulent and competitive world marketplaces, manufacturers must find the best production scheme and delivery policy to meet timely client’s multiproduct requirements and minimize the total manufacturing-shipment expenses. This study proposes a two-stage delayed differentiation model for a multiproduct manufacturer-retailer coordinated supply chain featuring the adjustable-rate for making common parts and a multi-shipment policy for transporting finished goods. The aim is to help present-day manufacturers achieve their operational goals mentioned above. The mathematical techniques help us build a specific model to explicitly represent the problem and derive its overall operating expense. Then, the convexity of the total expense is verified by Hessian matrix equations. The differential calculus helps derive the cost-minimized fabrication-shipment decision. This study offers an example to demonstrate the applicability and capabilities of our proposed model numerically. The following crucial information has been made available to the managers to facilitate their operating decision makings: (1) the problem’s best fabrication-shipment policy; (2) the collective influence of various common part’s completion rates and values on the problem’s total expenses and optimal fabrication-shipment policy; (3) the impact of various adjustable-rates in stage one on utilization and stage one’s uptime; (4) the details of cost contributors to the problem; and (5) the collective impacts of critical features on the problem’s performance.